Applications in the social and behavioural sciences Books

Book SynopsisThis open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.This is an open access book.Table of ContentsChapter One: Introducing Responsible AI in AfricaChapter Two: Epistemic Just and Dynamic AI Ethics in AfricaChapter Three: Responsible AI in Africa - Challenges and OpportunitiesChapter Four: Working with robots as colleagues: Kenyan perspectives of ethical concerns on possible integration of co-bots in workplacesChapter Five: Artificial Intelligence in Africa: Emerging ChallengesChapter Six: The Use of Gendered Chatbots in Nigeria: Critical PerspectivesChapter Seven: AI Policy as a Response to AI Ethics? Addressing ethical issues in the development of AI policies in North AfricaChapter Eight: Towards Shaping the Future of Responsible AI in Africa

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Book SynopsisThis open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.This is an open access book.Table of ContentsChapter One: Introducing Responsible AI in AfricaChapter Two: Epistemic Just and Dynamic AI Ethics in AfricaChapter Three: Responsible AI in Africa - Challenges and OpportunitiesChapter Four: Working with robots as colleagues: Kenyan perspectives of ethical concerns on possible integration of co-bots in workplacesChapter Five: Artificial Intelligence in Africa: Emerging ChallengesChapter Six: The Use of Gendered Chatbots in Nigeria: Critical PerspectivesChapter Seven: AI Policy as a Response to AI Ethics? Addressing ethical issues in the development of AI policies in North AfricaChapter Eight: Towards Shaping the Future of Responsible AI in Africa

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Book SynopsisThis book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022.The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust. Table of ContentsFull Papers.-- Rapid Prototyping of Business Rule-based Systems with Controlled Natural Language and Semantic Web Software.- - Agile Innovation Through Business Process Management: Realizing the Potential of Digital Transformation.-- Requirements for Dynamic Jumps at the Execution of Business Processes.- Results from the Verification of Models of Spectrum Auctions.- Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive Business Processes.- Detecting Data Incompatibilities in Process-Driven Decision Support Systems.- Semantic Relations of Sub-Models in an Enterprise Model.- VR-EA+TCK: Visualizing Enterprise Architecture, Content, and Knowledge in Virtual Reality.- A Case of Social Dynamics & Social Relativism.- Advantages of a Formal Specification of a Case: From Informal Description via Formal Specification to Realization.- An Architecture for Attesting to the Provenance of Ontologies Using Blockchain Technologies.- Trends for the DevOps Security. A Systematic Literature Review.- Short Papers.- Errors in the Process of Modeling Business Processes.- Use Cases for Augmented Reality Applications in Enterprise Modeling: A Morphological Analysis.- On the Context-Aware Servicing of User Needs: Extracting and Managing Context Information Supported by Rules and Predictions.- Towards Identification and Modelling of Privacy Requirements with Systems Thinking a Reference Architecture for User-Oriented Open Government Data Portals.- KnowGo : An Adaptive Learning-based Multi-Model Framework for Dynamic Automotive Risk Assessment.- OSRM-CCTV: CCTV-aware Routing and Navigation System for Privacy and Safety.- CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras.- Computer Model for Assessment and Visualization of Specific Absorption Rate of Electromagnetic Field, Generated by Smartphone.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022.The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.Table of Contents​Decision making and uncertainty.- Optimality Analysis for Stochastic LP Problems.- A Multi-Perceptual-Based Approach for Group Decision Aiding.- Probabilistic Judgement Aggregation by Opinion Update.- Semiring-valued fuzzy rough sets and colour segmentation.- Data privacy.- Bistochastic privacy.- Improvement of Estimate Distribution with Local Differential Privacy.- Geolocated Data Generation and Protection Using Generative Adversarial Net-works.- Machine Learning and data science.- A Strategic Approach based on AND-OR Recommendation Trees for Updating Obsolete Information.- Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors.- Measuring Fairness in Machine Learning models via Counterfactual Examples.- Re-Calibrating Machine Learning Models using Confidence Interval Bounds.- An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning.- Effective Early Stopping of Point Cloud Neural Networks.- Representation and Interpretability of IE Integral Neural Networks.- Deep Attributed Graph Embeddings.- Estimation of Prediction Error with Regression Trees.

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Book SynopsisThis book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022.The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).Table of ContentsExplainability in CBR Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods.- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations.- How close is too close? The Role of Feature Attributions in Discovering Counterfactual Explanations.- Algorithmic Bias and Fairness in Case-Based Reasoning.- ”Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).- Representation and Similarity Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.- Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation.- Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.- Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud.- Adaptation and Analogical Reasoning Case Adaptation with Neural Networks: Capabilities and Limitations.- A Deep Learning Approach to Solving Morphological Analogies.- Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer.- Graphs and Optimisation Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.- swarm optimization in small case bases for software effort estimation.- MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting.- GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning.- Never judge a case by its (unreliable) neighbors: Estimating Case Reliability for CBR.- CBR and Neural Networks Improving Automated Hyperparameter Optimization with Case-Based Reasoning.- A factorial study of neural network learning from differences for regression.- ase-Based Inverse Reinforcement Learning Using Temporal Coherence.- Analogy-based post-treatment of CNN image segmentations.- Case-Based Applications An Extended Case-Based Reasoning Approach to Race-Time Prediction in Recreational Marathon Runners.- Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.- A Case-Based Approach for Content Planning in Data-to-Text Generation.- The use of computer-assisted Case-Based Reasoning to support clinical decision-making – a scoping review.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.Table of ContentsCognitive and Computational Foundations of Brain Science.- Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity.- From concrete to abstract rules: A computational sketch.- Detection of Healthy and Unhealthy Brain States from Local Field Potentials using Machine Learning.- COSLETS: Recognition of Emotion Based on EEG signals.- Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach.- Investigations of Human Information Processing Systems.- Analysis of Semantic Processes as an Indication for Focal Point Selection by Decomposing Alpha Frequency Band.- Toward the study of the neural-underpinnings of dyslexia during Final-phoneme Elision: A machine learning approach.- Root-Cause Analysis of Activation Cascade Differences in Brain Networks.- Unstructured Categorization with Probabilistic Feedback: Learning Accuracy versus Response Time.- Brain Big Data Analytics, Curation and Management.- Optimizing measures of information encoding in astrocytic calcium signals.- Introducing the Rank-Biased Overlap as Similarity measure for Feature Importance in Explainable Machine Learning: a case study on Parkinson’s disease.- Prediction of neuropsychological scores from functional connectivity matrices using deep autoencoders.- Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification.- Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features.- Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction.- Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy based on Arousal State Detection from Multimodal Data.- Convex Hull in Brain Tumor Segmentation.- Informatics Paradigms for Brain and Mental Health Research.- Computer Added Diagnosis Framework for ADHD Detection using Quantitative EEG.- A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh.- Epilepsy Detection from EEG Data using a Hybrid CNN-LSTM Model.- Classifying Brain Tumor from MRI Images Using Parallel CNN Model.- Triplet-loss based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease.- Understanding syntax structure of language after a head injury.- A Belief Rule Based Expert System To Diagnose Alzheimer’s disease Using Whole Blood Gene Expression Data.- Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification.- Brain-Machine Intelligence and Brain-Inspired Computing.- Biologically Inspired Neural Path Finding.- A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning.- EEG signal classification using Shallow FBCSP ConvNet with a new cropping strategy.- Becoming Attuned To Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioural Adaptivity.

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Book SynopsisThis book constitutes the refereed proceedings of the Second Doctoral Symposium on Information and Communication Technologies, DSICT 2022, held in Manta, Ecuador, in October 2022. The 15 full papers were thoroughly reviewed and selected from the 72 submissions. The papers present research in areas of intelligent systems, artificial intelligence, ICTs and their applications to the real world.Table of ContentsEvaluating University Students’ Information Literacy: An Approach from Task-Based Test Execution.- Teaching digital competence in higher education. A comprehensive scientific mapping analysis with Rstudio.- Decision making by applying Z-numbers.- Comparative analysis of the performance of machine learning techniques applied to real and synthetic fraud-oriented datasets.- Academic Management in Higher Education 4.0 facing the challenges of Industry 4.0.- Linear regression analysis of heart rate while learning the soccer technique of driving. A case study.- Optimization Models Used in Water Allocation Problems in River Basin with Reservoirs: A Systematic Review.- Factors that limit the achievement of learning in Telemedicine of health professionals in Peru.- Multimodal deep learning for crop yield prediction.- Augmented Reality for Real-Time Control of a Robotic Arm with IoT Connection.- Development of an IoT-Based Precision Agriculture System for Strawberry Plantations in Guamote Ecuador.- Cancer detection based on electrical properties of tissues.- Artificial Intelligence applied to Video Game for detection of Mild Cognitive Impairment.- YouTube and Instagram applied to e-Learning.- Identifying the Political Tendency of Social Bots in Twitter using Sentiment Analysis: A Use Case of the 2021 Ecuadorian General Elections.

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Book SynopsisThis book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022.For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society.For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.

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Book SynopsisThis book presents select contributions of the International Scientific-Practical Conference 2021 (ISCP 2021) organized by East European University (Georgia) and Fresenius University of Applied Sciences (Germany). It discusses the challenges of digital transformation during and after the pandemic and introduces advanced research and solutions from both academic and professional’s aspects. The topics covered include digitalization in social and corporate responsibility, e-commerce and digital entrepreneurship, and digitalization in education.The book is an interesting read for researchers and professionals interested in digital management.

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Book SynopsisThis volume constitutes the proceedings of the 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022, held in Santiago, Chile during November 8–11, 2022. The 18 full and 4 work-in-process papers presented in this volume were selected from 37 submissions and underwent careful double-blind peer review. The papers focus on innovative technical, human and organizational approaches to expand collaboration support including computer science, management science, design science, cognitive and social science.Table of ContentsAnalyzing human aspects in software development A systematic mapping study.- Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with open-ended task.- The Effect of Pair Programming on Code Maintainability.- Relevant Knowledge Use During Collaborative Explanation Activities: Investigation by Laboratory Experiment, and Computer Simulation Using ACT-R.- Does volunteer engagement pay off? An analysis of user participation in online Citizen Science projects.- Effects of Digital Avatar Robots on perceived social presence and copresence in business meetings between the managers and their coworkers.- Presentation Method for Conveying Nonverbal Information in Online Conference Presentations with a Virtual Stage.- Kano Model-Based Macro and Micro Shift in Feature Perception of Short-Term Online Courses.- Glow-mind: an input/output web system for sharing feelings by pressing a button.- Support by Visually Impaired: A Proposal for a System to Present Walkability on Maps Using White Cane Data.- How Teacher Education Students Collaborate when Solving an Asymmetric Digital Task.- Using process mining techniques to discover the collective behaviour of educators in a learning community platform.- Collaborative Community Knowledge Building with Personalized Question Recommendations.- Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform.- Students’ basic psychological needs satisfaction at the interface level of a computer-supported collaborative learning tool.- Facilitator Agent to Support Low-resource Language Speakers In MT Mediated Communication.- Towards Implementing Collaborative Learning in Remote Teaching Scenarios.- Scaffolding of Intuitionist Ethical Reasoning with Groupware: Do students’ stances change in different countries?.- Development of Toys for Determining Behavioral Imitation during Parent-Child Interactions.- Estimating peer evaluation potential by utilizing learner model during group work.- Scenario for analysing student interactions and orchestration load in collaborative and hybrid learning environments.- Implicit HCI for Geocollaborative Hyperstories Creation.

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022, which took place in Jyväskylä, Finland in November 2022.The 24 full technical papers, 9 short papers, and 6 poster papers presented in this volume were carefully reviewed and selected from 75 submissions. The book also contains and 8 doctoral symposium papers and 7 tutorial and workshop papers.The contributions were organized in topical sections as follows: Keynote; Cloud and AI; Empirical Studies; Process Management; Refactoring and Technical Dept; Software Business and Digital Innovation; Testing and Bug Prediction; Posters; Tutorials; Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22); 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022); Doctoral Symposium.Table of Contents​ Keynote.- The End-users of Software Systems deserve better.- Cloud and AI.- Managing the Root Causes of "Internal API Hell": An Experience Report.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Empirical Studies.- Defining Requirements Strategies in Agile: A Design Science Research.- Analysing the Relationship between Dependency Definition and Updating Practice when Using Third-Party Libraries.- On the Limitations of Combining Sentiment Analysis Tools in a Cross-Platform Setting.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Data-Driven Improvement of Static Application Security Testing Service: An Experience Report in Visma.- Near Failure Analysis using Dynamic Behavioural Data.- Process Management.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- Benefit Considerations in Project Decisions.- Towards Situational Process Management for Professional Education Programmes.- Change Management in Cloud-Based Offshore Software Development: A Client-Vendor Perspective.- Half-Empty Offices in Flexible Work Arrangements: Why are Employees Not Returning?.- Refactoring and Technical Dept.- Technical Debt in Service-Oriented Software Systems.- An Investigation of Entropy and Refactoring in Software Evolution.- "To Clean Code or Not To Clean Code" A Survey among Practitioners.- Software Business and Digital Innovation.- Counter the Uncertainties in a Dynamic World: Approach for Creating Outcome-Driven Product Roadmaps.- Designing Platforms for Crowd-based Software Prototype Validation: A Design Science Study.- Rapid delivery of software: The effect of alignment on time to market.- Exploring the “Why,” “How,” and “What” of Continuous Digital Service Innovation.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Testing and Bug Prediction.- Test Case Selection with Incremental ML.- Inferring Metamorphic Relations from JavaDocs: A Deep Dive Into the MeMo Approach.- An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction.- A/B Testing in the Small: an Empirical Exploration of Controlled Experimentation on Internal Tools.- TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks.- Improving Software Regression Testing Using a Machine Learning-based Method For Test Type Selection.- Early Identification of Invalid Bug Reports in Industrial Settings - A Case Study.- Posters.- RESEM: Searching Regular Expression Patterns with Semantics and Input/Output Examples.- Linking User Stories and Behavior Driven Development Concepts: Ontology, Preliminary Validation and Further Perspectives.- Quality Metrics for Software Development Management and Decision Making: An Analysis of Attitudes and Decisions.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Can the requirements coverage be satisfied with code coverage? User story test coverage.- Tidy Up Your Source Code! Eliminating Wasteful Statements in Automatically Repaired Source Code.- Tutorials- Utilizing User Stories to Bring AI Ethics into Practice in Software Engineering.- Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22).- Classical to Quantum Software Migration Journey Begins: A Conceptual Readiness Model.- 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022).- Technical Debt Forecasting from Source Code using Temporal Convolutional Networks.- Adagio: a bot for AuDio processing AGainst vIOlence.- End Users’Perspective of Performance Issues in Google Play Store .- Predicting Bug-Fixing Time: DistilBERT versus Google BERT.- Proposing Isomorphic Microservices based Architecture for IoT.- Doctoral Symposium.- Ethical Tools, Methods and Principles in Software Engineering and Development: Case Ethical User Stories.- Architectural Degradation and Technical Debt Dashboards (PROFES Doctoral Symposium).- The Impact of Business Design in Improving the Offering of Professional Software Services.- Applications of MLOps in the Cognitive Cloud Continuum "PROFES Doctoral Symposium".- Implementing Artificial Intelligence Ethics in Trustworthy System Development- Ethical Requirements for Software Development.- Developing a Critical Success Factor model for DevOps.- Strategic ICT procurement in Finland: Tensions and Opportunities.- Leverage Software Containers Adoption By decreasing Cyber Risks and systemizing the refactoring of monolithic applications.

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Book SynopsisThis book constitutes the proceedings of the 15th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2022, which took place in London, UK, during November 23-25, 2022. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling and Model-based Development and Engineering. The 15 full papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. They were organized in topical sections as follows: models in information system development; modeling enterprise architectures; modeling capabilities and ecosystems; DSML and meta-modeling; and participatory modeling.Table of ContentsModels in Information System Development.- Investigating the effectiveness of model-based testing on testing skill acquisition.- Generating Low-Code Applications from Enterprise Ontology.- Supporting the Individuation, Analysis and Gamification of Software Components for Acceptance Requirements Fulfilment.- Modeling Enterprise Architectures.- Historization of Enterprise Architecture Models Via Enterprise Architecture Knowledge Graphs.- Towards Ontology-based Validation of Enterprise Architecture Principles.- Ontological Analysis and Redesign of Security Modeling in ArchiMate.- Modeling Capabilities and Ecosystems.- Foundations of capability maps – a conceptual comparison.- Applying and Evaluating the KYKLOS Method.- Using Tangible Modeling to Create an e3value Conceptual Model for Digital Ecosystems.- DSML and Meta-Modeling.- Dynamic Models - the MetaMorph Formalism and Model-Operations.- Establishing Interoperability between the EMF and the MSDKVS Metamodeling Platforms.- Beyond Business Development: Regulatory Assessment of Electricity Sector Projects with Contextual Requirements Engineering.- Participatory Modeling.- A Methodology for DSML-assisted Participatory Agent-Based Enterprise Modelling.- Advantages and Limitations of Experiments for Researching Participatory Enterprise Modeling and Recommendations For Their Implementation.- Designing an Ontology for Human Rights Violations Documentation through Practitioner Input and Information Infrastructure Theory.

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Book SynopsisThis book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2022, held in Berlin, Germany, during September 26–28, 2022. This is the 6th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 18 full research papers presented in this book were carefully reviewed and selected from 54 submissions. The papers cover the following topics: answer set programming; foundations of nonmonotonic reasoning; datalog; queries over ontologies; proofs, error-tolerance, and rules; as well as agents and argumentation.Table of ContentsAnswer Set Programming.- Foundations of Nonmonotonic Reasoning.- Datalog.- Queries Over Ontologies.- Proofs, Error-tolerance, and Rules.- Agents and Argumentation.

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Book SynopsisThis volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)Table of ContentsWorkshop on Mining Data for Financial Application (MIDAS 2022).- Preface from the workshop organisers.- Multi-Task Learning for Features Extraction in Financial Annual Reports.- What to do with your sentiments in finance.- On the development of a European tracker of societal issues and economic activities using alternative data.- Privacy-preserving machine learning in life insurance risk prediction.- Financial Distress Model Prediction using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies.- Improve default prediction in highly unbalanced context.- Towards Explainable Occupational Fraud Detection.- Towards Data-Driven Volatility Modeling with Variational Autoencoders.- Auto-Clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint.- InFi-BERT 1.0: Transformer-based language model for Indian Financial Volatility Prediction.- Workshop on Machine Learning for Cybersecurity (MLCS 2022).- Preface from the workshop organisers.- Intrusion Detection using Ensemble Models.- Domain Adaptation with Maximum Margin Criterion with application to network traffic classification.- Evaluation of Detection Limit in Network Dataset Quality Assessment with Permutation Testing.- Towards a General Model for Intrusion Detection: An Exploratory Study.- Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022).- Preface from the workshop organisers.- Conv-NILM-Net, a causal and multi-appliance model for energy source separation.- Domestic Hot Water Forecasting for Individual Housing with Deep Learning.- Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022).- Preface from the workshop organisers.- Detecting Drift in Healthcare AI Models based on Data Availability.- Assessing Different Feature Selection Methods applied to a bulk RNA Sequencing Dataset with regard to Biomedical Relevance.- Predicting Drug Treatment for Hospitalized Patients with Heart Failure.- A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients.- Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-Trained Transformer Language Models.- A Light-weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices.- Workshop on Data Analysis in Life Science (DALS 2022).- Preface from the workshop organisers.- I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads.- Italian debate on measles vaccination: how Twitter data highlight communities and polarity.- Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).- Preface from the workshop organisers.- Online Anomaly Explanation: A Case Study on Predictive Maintenance.- Fault forecasting using data-driven system modeling: a case study for Metro do Porto data set.- An online data-driven predictive maintenance approach for railway switches.- curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection.- Incorporating Physics-based Models into Data-Driven Approaches for Air Leak Detection in City Buses.- Towards Geometry-Preserving Domain Adaptation for Fault Identification.- A systematic approach for tracking the evolution of XAI as a field of research.- Frequent Generalized Subgraph Mining via Graph Edit Distances.

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Book SynopsisThis book constitutes the proceedings of the 9th Latin American Conference on High Performance Computing, CARLA 2022, held in Porto Alegre, Brazil, in September 2022. The 16 full papers presented in this volume were carefully reviewed and selected from 56 submissions.CARLA, the Latin American High Performance Computing Conference, is an international academic meeting aimed at providing a forum to foster the growth and strength of the High Performance Computing (HPC) community in Latin America and the Caribbean through the exchange and dissemination of new ideas, techniques, and research in HPC and its application areas.Table of ContentsA Comparative Evaluation of Parallel Programming Python Tools for Particle-in-cell on Symmetric Multiprocessors.- Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform.- Implementing a GPU-Portable Field Line Tracing Application with OpenMP Offload.- Quantitative Characterization of Scientific Computing Clusters.- Towards parameter-based profiling for MARE2DEM performance modeling.- Time-Power-Energy Balance of BLAS kernels in modern FPGAs.- Improving Boundary Layer Predictions Using Parametric Physics-Aware Neural Networks.- Towards Fire Identification Model in Satellite Images Using HPC Embedded Systems and AI.- A Machine Learning-based Missing Data Imputation with FHIR Interoperability Approach in Sepsis Prediction.- Understanding the Energy Consumption of HPC Scale Artificial Intelligence.- Tracking the COVID-19 Emotional Response in Mexico.- Multi-GPU 3-D Reverse Time Migration with Minimum I/O.- ParslRNA-Seq: an efficient and scalable RNAseq analysis workflow for studies of differentiated gene expression.- Refactoring an electric-market simulation software for massively parallel computations.- Nearly Quantum Computing by Simulation.- Functionality testing in the automation of scientific application workflows in an HPC environment.

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Book SynopsisThis book constitutes revised selected papers from the 16th and 17th International Conferences on Web Information Systems and Technologies, WEBIST 2020 and WEBIST 2021, which took place virtually in November 2020 and October 2021, respectively.The 10 full papers from WEBIST 2021 and 1 full paper from WEBIST 2020 presented in this volume were carefully reviewed and selected from originally 48 paper submissions in 2020 and 107 submissions in 2021. The selected papers contribute to the understanding of relevant current research trends in Web information systems and technologies, including deep learning, knowledge representation and reasoning, recommender systems, internet of things, Web intelligence and big data.Table of ContentsVirtual Testing Environment for Smart Automations in the Internet of Things.- Machine Learning based Finding of Similar Sentences from French Clinical Notes.- A Comparative Study of Energy Domain Ontologies Semantic Label Representations with Lbl2Vec: A Similarity-based Approach for Unsupervised Text Classification Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil Indonesia Government and Social Networks: Response Analysis about Food Security during COVID-19 Pandemic An Adaptive Filter for Preference Fine-tuning in Recommender Systems Graph-based Recommendation Engine for Stock Investment Decisions LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints Flexible Detection of Similar DOM Elements GeoSoft: A Language for Soft Querying Features within GeoJSON Information Layers.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the EAI International Conference on Internet of Everything, IoECon 2022, which took place in Guimarães, Portugal in September 16-17 2022. IoECon 2022 presents IoE paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world.The 10 revised full papers were carefully reviewed and selected from 26 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people-to-machines, and machines-to-machines.Table of Contents​People-to-People.- Perspectives on the Internet of Everything.- Guidelines to Develop Consumers Cyber Resilience Capabilities in The IoE Ecosystem.- A competency definition based on the knowledge, skills, and human dispositions constructs.- The influence of the image and photography of E-Commerce products on the purchase decision of online consumers.- People-to-Machine and Machine-to-People.- The Man-Machine Relationship on the Web: Motivation to Use the Internet.- Cybersecurity Challenges in Healthcare Medical Devices.- A WSN real-time monitoring system approach for measuring Indoor Air Quality using the Internet of Things.- Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?.- Machine-to-Machine.- Transient Session Key Derivation Protocol for Key Escrow Prevention in Public Key Infrastructure.- Evaluating CoAP, OSCORE, DTLS and HTTPS for Secure Device Communication.

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Book SynopsisThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. Table of ContentsTime series.- Financial machine learning.- Applications.- Applications: transportation.- Demo track.

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Book SynopsisFor millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems – systems that are not tied to spoken language – and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex “messages” if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were “dictated”, thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical “evidence” for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems.Trade Review“The book is the first systematic study of graphical symbol systems, ranging from the imagery found in Paleolithic cave paintings, through ancient and contemporary writing systems employing both phonetic and logographic symbols, to modern language-independent symbols such as meteorological icons and emoji.” (Andrew Robinson, Science, science.org, Vol. 382 (6669), October 27, 2023)Table of ContentsPreface1 Introduction 1.1 What’s in a Symbol? 1.2 Syntax 1.3 What this book is about 2 Semiotics 2.1 Introduction 2.2 The Field of Semiotics 2.3 Iconicity 2.4 Syntax 2.5 Articulation 3 Taxonomy 3.1 Introduction 3.2 History 3.3 Preliminary Taxonomy 3.4 Examples of systems 3.5 Kamon/Heraldry 3.5.1 Kamon 3.5.2 British heraldry 3.5.3 Structural Differences: Summary 3.A Symbol system survey (A detailed analysis of 26 symbol systems) 3.B Statistics of kamon 4 Writing Systems 4.1 Introduction 4.2 Writing 4.2.1 Preliminaries 4.2.2 Types of Writing Systems 4.2.3 Blissymbolics 4.3 Limitations of writing 4.3.1 Inclusiveness 4.3.2 Graphocentrism 4.3.3 Summary 4.4 Writing: A summary 5 Symbols in the Brain 5.1 Brain areas 5.2 Meaning in the brain 5.3 Reading in the brain 5.3.1 The letterbox 5.3.2 Summary: the evolution of the letterbox 5.4 Non-linguistic symbols in the brain 5.5 A Hypothesis 6 The Evolution of Writing 6.1 Evolution 6.2 A Hypothesis 6.3 Schools 7 Simulations 7.1 Prior work 7.2 Simulation 7.2.1 Description of the model 7.2.2 Simulation of evolution 7.2.3 Summary and discussion 7.3 Pre-writing 7.4 Summary 7.A Details 7.A.1 Data Generation 7.A.2 Model 7.B Compounds 7.B.1 Monosyllabic cases 7.B.2 Sesquisyllabic cases 7.B.3 Disyllabic cases 8 Misrepresentations 8.1 Introduction 8.2 What does it mean to say something "Looks like writing"? 8.3 Statistics 8.3.1 Statistical analysis of the Indus Valley inscriptions 8.3.2 More on structure in the Indus inscriptions 8.3.3 Variations of distributions of symbols 8.4 Summary 9 The Future 9.1 The Dream of a Universal Written Language 9.2 Semasiography 9.3 The Prestige of Writing 9.4 Final Thoughts

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Book SynopsisThis book constitutes revised selected papers from the international workshops, the EDOC Forum and the Demonstration and Doctoral Consortium track, that were held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022. The conference took place in Bozen-Bolzano, Italy, during October 3–7, 2022.The conference focuses on the area of enterprise computing, this year with the special emphasis on the theme of designing and operating “Flexible Enterprises”. Workshops within EDOC cover more focused topics and allow for the presentation and discussion of work that is in the earlier development stages. The 18 full and 8 short papers included in this volume were carefully reviewed and selected from 82 submissions. They stem from the following satellite events: – Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) – 14th Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) – 17th Workshop on Trends in Enterprise Architecture Research (TEAR) – EDOC Forum – Demonstrations Track – Doctoral Consortium Table of ContentsIDAMS 2022.- Digital Architectures Under Society 5.0: An Enterprise Architecture Perspective.- Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights.- Digital Technologies Supporting Digitalization: A Maturity Model to Manage their Usage Risks.- DTMN a Modelling Notation for Digital Twins.- Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated Planning.- An Optimization Ontology for Goal Modelling Frameworks.- SOEA4EE 2022.-Visual Description of Digital IT Consulting Services using DITCOS-DN: Proposal and Evaluation of a Graphical Editor.- Implementing a service-oriented rural smartness platform: lessons learned from a technical action research in West Java, Indonesia.- TEAR 2022.- Areas where Enterprise Architecture Contributes to Organizational Goals - A Quantitative Study in the Netherlands.- Achieving Alignment by Means of EA Artifacts.- Contextuality and Temporality of Enterprise Architecture Problems: A Comparative Case Study.- Zooming in on Competences in Ontology-Based Enterprise Architecture Modeling.- A Knowledge-Graph Based Integrated Digital EA Maturity and Performance Framework.- Workplace Topology Model for Assessment of Static and Dynamic Interactions Among Employees.- EDOC Forum.- Optimized Throttling for OAuth-based Authorization Servers.- A Concept and a Multitenant Web Application for Interactive Software Architecture Analysis.- An ontology for software patterns: application to blockchain-based software development.- Learning-aided Adaptation - A Case Study from Wellness Ecosystem.- Demonstrations Track.- The Deployment Model Abstraction Framework.- Dromi: A Tool for Automatically Reporting the Impacts of Sagas implemented in Microservice Architectures on the Business Processes.- Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit.- Interactive Design of Time-Aware Business Processes.- Prosimos: Discovering and Simulating Business Processes With Differentiated Resources.- Doctoral Consortium.- Data analytics and machine learning for smart decision making in automotive sector.- To model or not to model? Assessing the value of ontology-driven conceptual modeling.- A Proposal for Intent-based Configuration of ICT Components.

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Book SynopsisThis book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022.The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: ​classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.Table of ContentsClassification and Regression Problems for Communication Paradigms.- Deep Learning and Vision Computing.- Deep- Recurrent Neural network (RNN) for Industrial informatics.- Extended AI for heterogeneous Edge.

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Book SynopsisThe two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing.Table of ContentsSemantic Prosody: The Study of Gei in BA and BEI Constructions.- Corpus-Based Lexical Features and Thematic Analysis of China's Five-Year Plan for the 21st Century.- Corpus Construction for Generating Knowledge Graph of Sichuan Cuisine.- Building a Semantically Annotated Corpus of Chinese Directional Complements.- BBAE: a Method for Few-Shot Charge Prediction with Data Augmentation and Neural Network.- A Preliminary Quantitative Investigation of Chinese Monosyndetic Coordinators.- Frequency in Chinese Ballad Song Lyrics: A Quantitative Morpheme-Based Study.- Gender-Related Use of Tonal Patterns in Mandarin Chinese: The Case of Sentence-Final Particle ma.- A Quantitative Study on the Low-Degree Adverb “Shaowei”--A Stylistic Perspective.- The Relationship of Lexical Richness to the Quality of CSL Writings.- Research on Korean "Long-before-Short" Preference from the Perspective of Dependency Distance.- A Dependency Structure Annotation for Modality in Chinese News Articles.- How Do People React to COVID-19 Vaccination? A Corpus-based Study of Macau Netizens’ Online Comments.- REFORM IS A JOURNEY: Conceptualizing China’s Reform and Opening-up in the Official News Discourse.- The Emotion Code in Sensory Modalities: An investigation of the relationship between sensorimotor dimensions and emotional valence-arousal.- From Genitive to Conjunctive: Coordinator li55 in Chongqing Mandarin.- The Prediction Function of Collocations on the Quality Assessment of Chinese Second Language Learners’ Oral Production.- Verb Raising and the Construction Mechanism of Synthetic Compounds.- The Construction of Grammatical Synonym Resources of Disyllabic Verbs in Modern Chinese.- Extraction and Application of Verb Event Structure Based on Grammatical Knowledge-Base of Contemporary Chinese(GKB).- Semantic Classification of Adverbial Nouns Based on Syntactic Treebank and Construction of Collocation Da-tabase.- A Framework for Dictionary Development: Building Domain Dictionary for Legal Field.- RoBERTa: An Efficient Dating Method of Ancient Chinese Texts.- Building a Corpus for Chinese Causality Extraction in Futures Domain.- Research on Hotspots of Educational Application of Natural Language Processing Based on LDA Topic Model.- A Metrological Study on the Spatial Narrative of the Qishu Genre: Take A Dream of Red Mansions and Water Margin as Examples.- Chinese Argument Identification Based on Bert.- Irony Recognition in Chinese Text Based on Linguistic Features and Attention Mechanism.- A Phrase Disambiguation Method of “Quanbu V de N” Based on SBERT Model and Syntactic Rule.- Automatic Recognition of Verb-complement Separable Words Based on BCC.

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Book SynopsisThis book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 – June 1, 2023.The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main theme of this year was “Decision Support Systems in An Uncertain World: The Contribution of Digital Twins”. The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models, methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption.Table of ContentsMulti-actor VIKOR method for highway selection in Montenegro.- A tool to support the decisions for the trace clustering problem with a non-compensatory approach.- An Asset-Based Causal Loop Model to Improve Corporate Value.- Time-aware Optimisation Models for Hospital Logistics.- Prevention and Detection of Network Attacks: A Comprehensive Study.- Section 2: DSS for business performance and stakeholders.- A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement.- MAMCABM: A data-driven stakeholder-based decision-support system that considers uncertainties.- BPR Assessment Framework: Staging Business Processes for Redesign using Cluster Analysis.- A Lean Knowledge Management Processes Framework for Improving the Performance of Manufacturing Supply Chain Decisions in an Uncertain World.- Integrating Existing Knowledge to Accelerate Buildings Renovation Rates in Europe.- Equity-based allocation criteria for water deficit periods: A case study in South Africa.- Section 3: DSS applications for sustainability - health, energy and transportation.- Attracting financing for green energy projects: a city readiness index.- Building risk prediction models for diabetes decision support system.- AHP method applied to the evaluation of costs and pollution emitted by combined means of transport, case of SMMC port Toamasina.- Evaluate the potential of the Physical Internet for last mile delivery in developing countries.- Towards an integrative assessment model for port sustainability decisions: a systematic review.- Section 4: DSS users and successful adoption.- An investigation on Cloud ERP adoption using Technology-Organisation- Environment (TOE) and Diffusion of Innovation (DOI) theories: a systematic review.- Young Elderly DSS Users - Some Reasons for Successful Adoption.- Behavioral studies for the use of visualization in holistic evaluation for multicriteria decision problems decision.- A Digital Distance Learning Critical Success Factors Model for Conducting Learning Analytics Research.- Scientific Authorship in DSS Research: Past Trends and Future Opportunities.

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Book SynopsisThis book constitutes the proceedings of the 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, which took place in Corfu, Greece, during May 23–26, 2023. It focused on the special theme "Information Science and the Connected World".The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume. Table of ContentsRequirements.- Goal Modelling: Design and Manufacturing in Cloud Migration High-Level Requirements.- Idea Browsing on Digital Participation Platforms: A Mixed-methods Requirements Study.- Conceptual modeling and ontologies.- What Do Users Think about Abstractions of Ontology-Driven Conceptual Models.- On the Semantics of Risk Propagation.- The omnipresent role of technology in social-ecological systems: ontological discussion and updated integrated framework.- Machine Learning and Analytics.- Detection of fishing activities from vessel trajectories.- Framework for Blockchain Data Analysis.- Reinforcement learning for scriptless testing: An empirical investigation of reward functions.- Conceptual modeling and semantic networks.- DBSpark: A system for natural language to SPARQL translation.- An Automated Patterns-based Model-to-Model Mapping and Transformation System for Labeled Property Graphs.- Improving Conceptual Domain Characterization in Ontology Networks.- Business Process Design and Computing in the Continuum.- Digital Technology-Driven Business Process Redesign: A Classification Framework.- Supporting the Implementation of Digital Twins for IoT-Enhanced BPs.- Context-Aware Digital Twins to Support Software Management at the Edge.- Adoption of Virtual Agents in Healthcare E-commerce: a Perceived Value Perspective.- Requirements and Evaluation.- Addressing Trust Issues in Supply-Chain Management Systems through Blockchain Software Patterns.- Evaluating Process Effciency with Data Envelopment Analysis: a Case in the Automotive Industry.- A Model of Qualitative Factors in Forensic-Ready Software Systems.- Monitoring and recommending.- Monitoring object-centric Business Processes: An Empirical Study.- A Peekinto the Working Day: Comparing Techniques for Recording Employee Behaviour.- Context-aware recommender systems: aggregation-based dimensionality reduction.- Business processes analysis and improvement Discovery of Improvement Opportunities in Knock-out Checks of Business Processes.- Persuasive Visual Presentation of Prescriptive Business Processes.- TraVaG: Differentially Private Trace Variant Generation Using GANs.- User interface and experience.- When Dashboard’s Content Becomes a Barrier - Exploring the Effects of Cognitive Overloads on BI Adoption.- The effect of visual information complexity on urban mobility intention and behavior.- Interoperability of Open Science Metadata: what about the reality.- Forum papers. -Online-Notes System: Real-time speech recognition and translation of lectures.- Temporal relation extraction from clinical texts using knowledge graphs.- Domain TILEs: Test Informed Learning with Examples from the Testing Domain.- Using GUI change detection for delta testing.- Enterprise Modeling for Machine Learning: Case-based Analysis and Initial Framework Proposal.- Towards Creating a Secure Framework for Building Mirror World Applications.- Towards a Secure and Privacy compliant Framework for Educational Data Mining.- Internet of Cloud (IoC): The need of raising privacy and security awareness.- Comparative study of unsupervised keyword extraction methods for job recommendation in an industrial environment.- A Meta-model for Digital Business Ecosystem Design.- Students in Team-Based Software Development Projects: An Exploratory Study.- Ontology of Product Provenance for Value Networks.- A Data Value Matrix: Linking FAIR Data with Business Models.- An Information Privacy Competency Model for Online Consumers.- DECENT: A Domain Specific Language to Design Governance Decisions.- Doctoral Consortium papers.- Business User-oriented Recommender System of Data.- Secure infrastructure for cyber-physical ranges.- Guidelines for Developers and Recommendations for Users to Mitigate Phishing Attacks: An Interdisciplinary Research Approach.- Leveraging Exogeneous Data for the Predictive Monitoring of IT Service Management Processes.- Predicting privacy decisions in mobile applications and raising users’ privacy awareness.- Information overload: Coping mechanisms and tools impact.

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Book SynopsisThis two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode.The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning. Table of ContentsDeep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial).- Agents/Case Based Reasoning/Sentiment Analysis.- Biomedical - Image Analysis.- CNN - Convolutional Neural Networks YOLO CNN.- Cyber Security/Anomaly Detection.- Explainable AI/Social Impact of AI.- Graph Neural Networks/Constraint Programming.- IoT/Fuzzy Modeling/Augmented Reality.- LEARNING (Active-AutoEncoders-Federated).- Machine Learning.- Natural Language.- Optimization-Genetic Programming.- Robotics.- Spiking NN.- and Text Mining /Transfer Learning.

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Book SynopsisThis book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development. Table of ContentsBPMDS 2023.- Just Tell Me: Prompt Engineering in Business Process Management.- Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective.- Modelling and Execution of Data-Driven Processes with JSON-Nets.- Aligning object-centric event logs with data-centric conceptual models.- From Network Traffic Data to a business-level Event Log.- A Novel Decision Mining Method Considering Multiple Model Paths.- Modeling, Executing and Monitoring IoT-Driven Business Rules.- A Generic Approach towards Location-aware Business Process Execution.- Time-aware Contract Model for Legal Smart Contracts.- Efficient Computation of Behavioral Changes in Declarative Process Models Nicolai Schützenmeier.- Beyond Temporal Dependency: An Ontology-Based Approach to Modeling Causal Structures in Business Processes.- EMMSAD 2023.- Principles of universal conceptual modeling.- Supporting Method Creation, Adaptation and Execution with a Low-code Approach.- IAT/ML: A Domain-Specific Approach for Discourse Analysis and Processing.- A First Validation of the Enterprise Architecture Debts Concept.- Modeling heterogeneous IT infrastructures: a collaborative component-oriented approach.- Exploring Capability Mapping as a Tool for Digital Transformation: insights from a Case Study.- TEC-MAP: a Taxonomy of Evaluation Criteria for Multi-Modeling Approaches.- Integrating Physical, Digital, and Virtual Modeling Environments in a Collaborative Design Thinking Tool.- Opportunities in Robotic Process Automation by and for Model-Driven Software Engineering.- A Requirements-Driven Framework for Automatic Data Visualization.- Comparing different visualizations for feedback on test execution in a Model-Driven Engineering environment.- Unblocking Inductive Miner - While Preserving Desirable Properties.

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Book SynopsisThis book constitutes the refereed proceedings of the 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, held in Portoroz, Slovenia, in June12–15, 2023.The 23 full papers and 21 short papers presented together with 3 demonstration papers were selected from 108 submissions. The papers are grouped in topical sections on: machine learning and deep learning; explainability and transfer learning; natural language processing; image analysis and signal analysis; data analysis and statistical models; knowledge representation and decision support.Table of Contents​Machine Learning and Deep Learning.- Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data.- Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens.- A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis.- Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening based on the UK Primary Care Data.- Causal Discovery with Missing Data in a Multicentric Clinical Study.- Novel approach for phenotyping based on diverse top-k subgroup lists.- Patient Event Sequences for Predicting Hospitalization Length of Stay.- Autoencoder-based prediction of ICU clinical codes.- Explainability and Transfer Learning.- Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics.- Explainable Artificial Intelligence for Cytological Image Analysis.- Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction.- Explainable AI for Medical Event Prediction for Heart Failure Patients.- Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection.- Computational Evaluation of Model-Agnostic Explainable AI using Local Feature Importance in Healthcare.- Batch Integrated Gradients: Explanations for Temporal Electronic Health Records.- Improving stroke trace classification explainability through counterexamples.- Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission.- Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.- Natural Language Processing.- A Rule-free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers.- Classification of Fall Types in Parkinson Disease From Self-report Data Using Natural Language Processing.- BERT for complex systematic review screening to support the future of medical research.- GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text.- Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes.- Machine learning models for automatic Gene Ontology annotation of biological texts.- Image Analysis and Signal Analysis.- A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H&E Histological Images.- Can knowledge transfer techniques compensate for the limited myocardial infarction data by leveraging hemodynamics? An in silico Study.- Covid-19 Diagnosis In 3D Chest CT Scans With Attention-Based Models.- Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction.- Crowdsourcing segmentation of histopathological images using annotations provided by medical students.- Automatic sleep stage classification on EEG signals using time-frequency representation.- Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies.- Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese.- ECGAN: Self-supervised generative adversarial network for electrocardiography.- Data Analysis and Statistical Models.- Nation-wide ePrescription Data Reveals Landscape of Physicians and their Drug Prescribing Patterns in Slovenia.- Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System.- Prognostic prediction of paediatric DHF in two hospitals in Thailand.- The Impact of Bias on Drift Detection in AI Health Software.- A Topological Data Analysis Framework for Computational Phenotyping.- Ranking of Survival-Related Gene Sets through Integration of Single-Sample Gene Set Enrichment and Survival Analysis.- Knowledge Representation and Decision Support.- Supporting the prediction of AKI evolution through interval-based approximate temporal functional dependencies.- Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology.- Ontology model for supporting process mining on healthcare-related data.- Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case.- Decentralized Web-based Clinical Decision Support using Semantic GLEAN Workflows.- An Interactive Dashboard for Patient Monitoring and Management: a Support Tool to the Continuity of Care Centre.- A general-purpose AI assistant embedded in an open-source radiology information system.- Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the international workshops associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, which was held in Zaragoza, Spain, during June 12-16, 2023.The workshops included in this volume are:· 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS)· 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering (KG4SDSE)· Blockchain and Decentralized Governance Design for Information Systems (BC4IS and DGD) They reflect a broad range of topics and trends ranging from blockchain technologies via digital factories, ethics, and ontologies, to the agile methods for business and information systems. The theme of this year’s CAiSE was “Cyber-Human Systems”. The 10 full papers and 9 short paper presented in this book were carefully reviewed and selected from 25 submissions.

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Book SynopsisThis book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023The 31 full papers and 14 short papers included in this book were carefully reviewed and selected from 89 submissions. They focus on the developments of the application of natural language to databases and information systems in the wider meaning of the term.Table of ContentsLarge Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification.- How Challenging is Multimodal Irony Detection?.- Less is more: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition.- Don’t Lose the Message while Paraphrasing: A Study on Content Preserving Style Transfer.- A Review of Parallel Corpora for Automatic Text Simplification. Key Challenges Moving Forward.- Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers.- Arabic Privacy Policy Corpus and Classification.- SmartEDU: Accelerating Slide Deck Production with Natural Language Processing.- Explainable Integration of Knowledge Graphs using Large Language Models.- Cross-domain and cross-language irony detection: The impact of bias on models’ generalization.- Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering.- IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.- Comparing object recognition models and studying hyperparameter selection for the detection of bolts.- Morphosyntactic Evaluation for Text Summarization in Morphologically Rich Languages: A Case Study for Turkish.- Building Knowledge Graphs in Heliophysics and Astrophysics.- Text to Image Synthesis Using Bridge Generative Adversarial Network and Char CNN Model.- Evaluation of transformer-based models for punctuation and capitalization restoration in Spanish and Portuguese.- Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition.- Could KeyWord Masking strategy improve language model?.- Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation.- Node-Weighted Centrality Ranking for Unsupervised Long Document Summarization.- Characterization of the city of the future from a science fiction corpus.- On the Rule-based Extraction of Statistics Reported in Scientific Papers.- GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task.- Expanding Domain-specific Knowledge Graphs with Unknown Facts .- Knowledge Graph Representation Learning via Generated Descriptions.- LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts.- A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers.- Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-scale Biomedical Document Corpora.- Abstractive Summarization Based Question-Answer System for Structural Information.- Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis.- A Few-shot Approach to Resume Information Extraction via Prompts.- Decoding Strategies for Code Conciseness and Efficiency in Transformer-Generated Programs.- SP-BERT: A Language Model for Political Text in Scandinavian Languages.- Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques.- Document Knowledge Transfer for Aspect-Based Sentiment Classification Using a Left-Center-Right Separated Neural Network with Rotatory Attention.- Argument and counter-argument generation: a critical survey.- Novel Benchmark Data Set for Automatic Error Detection and Correction.- Weakly-Supervised Multimodal Learning for Predicting the Gender of Twitter Users.- Cross-Domain Toxic Spans Detection.- How shall a machine call a thing?.- Detecting Artificially Generated Academic Text: the Importance of Mimicking Human Utilization of Large Language Models.- Leveraging Small-BERT and Bio-BERT for Abbreviation Identification in Scientific Text.- RoBERTweet: A BERT Language Model for Romanian Tweets.- Evaluating the Effect of Letter Case on Named Entity Recognition Performance.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Blended Learning, ICBL 2023, held in Hong Kong, China, on July 17-20, 2023. The 24 papers presented in this volume were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections named: smart classroom and digital literacy; online and distant learning; content and pedagogy development for blended learning; gamification and interactive learning environment; learning analytics and big data in education.Table of ContentsKeynotes.- Teachers’ readiness for adopting online merge offline learning in digital.- Agile-blended Learning as a Metropolitan Teaching Approach.- Collaborative approaches to research-informed practice in tertiary education.- The power of rotation: Investigating the impact of the RST model on students' deep Learning.- Smart Classroom and Digital Literacy.- Investigating the Influence of Seating Factors on Perception of the Learning Environment in Smart Classroom.- Study on the influencing factors of junior high school students’ learning engagement under the smart classroom environment.- Integrating Digital Citizenship into a Primary School Course “Ethics and the Rule of Law”: Necessity, Strategies and a Pilot Study.- From ICT Utilization to Student Learning Achievement: Mediation Effects of Digital Literacy and Problem- solving Ability.- Online and Distant Learning.- The Effect of Corpus-based Writing Practices on EFL learners' Lexical Diversity and Lexical Sophistication.- On the Reflection of Online Distance Instruction into Blended Teaching and Learning.- Camera shy in online synchronous class: A qualitative study in college students.- Investigating Demographics and Behavioral Engagement Associated with Online Learning Performance.- Content and Pedagogy Development for Blended Learning.- Content Development of 'Literary Tourism' within Blended Learning Concept – Case Study.- Using WPBL to Improve Engineering Undergraduates’ Computational Thinking Performance in Flipped Classroom.- Cultivating Students’ Creative Thinking Using Visual Narrative in an Agile Blended Learning Environment.- Key Complexities Inhibiting Design and Implementation of Adaptive-Inclusive Learning Environments.- Gamification and Interactive Learning Environment.- Research on the Practice of VR Entering the Classroom – Taking City University Students of Macau as an Example.- How Can Teachers Facilitate Computer-Supported Collaborative Learning? A Literature Review of Teacher Intervention in CSCL.- Assessing Secondary Students’ Digital Literacy Using an Evidence-Centered Game Design Approach.- Museum Blended Learning through Digital Learning Platform: The Case of Smithsonian Learning Lab.- Learning Analytics and Big Data in Education.- Research on Dynamic Learning Intervention Driven by Data.- Predictive analytics for university student admission: A literature review.- Construction and Implementation of the Data-driven Flexible Teaching Model of University Courses.- Design and Effect of Guided and Adaptive Tutoring Tips for Helping School Mathematics Problems Solving.

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Book SynopsisThis book constitutes selected papers presented during the First International Conference on Digitization in Education, MoStart 2023, held in Mostar, Bosnia and Herzegovina, in April 2023.The 12 presented papers were thoroughly reviewed and selected from the 30 submissions. The proceedings cover a diverse range of topics, including artificial intelligence and robotics in education, games and simulations, intelligent tutoring systems, augmented and virtual reality, natural language processing, computer vision, IoT and metaverse applications, learning analytics, deep learning, and ethical issues in AI applications in education and law.Table of ContentsEvaluating Text Summarization using FAHP and TOPSIS Methods in Intelligent Tutoring Systems.- Overview of Tools for Programming and Virtual Simulation of Robots within the STEM Teaching Process.- Evaluating LightGBM Classifie for Knowledge Tracing on EdNet Dataset.- POS-only tagging using RNN for Croatian Language.- Web scraping Fire Incidents and Assesement of Fire Impact - a Case study of Split and Dalmatia County fire.- Bichronous Online Learning During the COVID-19 Pandemic – A Case Study on Teaching the Teachers.- Artificial intelligence fuzzy logic expert system for prediction of bevel angle quality response in plasma jet manufacturing process.- Education: Opportunities and Challenges.- Artificia intelligence for knowledge visualization: An Overview.- Digital Tools and Pre-reading Skills.- Detecting academic fraud at online tests during COVID-19 using machine learning-based methods.- Changes in Legal Education in the Digital Society of Artificia Intelligence.

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Book SynopsisExpanding Austenland: The Pride and Prejudice Fanfiction Archive explores Jane Austen’s reception in popular culture through an exploration of the ever-expanding terrain of online fanfiction, professionally published (profic) texts, and other intertextual reworkings inspired by the author’s most popular novel, Pride and Prejudice. The book argues that given its pervasiveness, Pride and Prejudice could be usefully considered not as a single novel, but as an entire ‘archive’ of interrelated texts, or as a portal that opens a ‘virtual world’ for readers to expand and explore. By examining the Pride and Prejudice archive of interrelated texts, this book analyses the process through which an individual novel can develop a virtual life, or afterlife. The evolving world that is opened by Pride and Prejudice, and extended and enriched through fanfiction, is conceptualised in the monograph as ‘Austenland’.Table of Contents Chapter 1 ‘She stimulates us to supply what is not there’: Expanding Austen’s world through fanfiction Chapter 2 ‘Light and bright and sparkling’ – Pride and Prejudice and fairy tales Chapter 3 ‘You must allow me to tell you how ardently I admire and love you’ – Darcymania takes over Chapter 4 ‘An arrival in Austenland’: The virtual world of Pride and Prejudice Chapter 5 ‘Are the shades of Pemberley to be thus polluted?’ – Zombies and vampires invade Pride and Prejudice Chapter 6 ‘How differently did everything now appear’ – The Lizzie Bennet Diaries and transmedia storytelling Chapter 7 ‘There’s no one to touch Jane when you’re in a tight place’: Pride and Prejudice and the pandemic

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Book SynopsisThis book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.Table of ContentsCBR and Deep Learning.- Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.- Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology.- CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation.- Representation and Similarity.- Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.- On-demand and model-driven case building based on distributed data sources.- The Case for Circularities in Case-Based Reasoning.- A Contextual Information-augmented Probabilistic Case-based Reasoning Model for Knowledge Graph Reasoning.- Case-based Sample Generation using Multi-Armed Bandits.- Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents.- CBR and Explainable AI Cases are King: A User Study of Case Presentation to Explain CBR Decisions.- CBR driven Interactive Explainable AI.- Selecting Explanation Methods for Intelligent IoT Systems: a Case-Based Reasoning Approach.- Case Based Explanation for Time Series Forecasting Models.- Case Base Maintenance.- Group Fairness in Case-Based Reasoning.- Addressing Underestimation Bias in CBR through Case-Base Maintenance.- The Problem Drift Problem and First Steps Towards Addressing It.- Adaptation: Techniques and Application Case-Based Adaptation of Argument Graphs with WordNet and Large Language Models.- Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR.- A Case-Based Approach for Workflow Flexibility by Deviation.- Lazy Adaptation Knowledge Learning based on Frequent Closed Itemsets.- Case-Based Applications.- An Overview and Comparison of Case-Based Reasoning Frameworks.- Case-Based Cleaning of Text Images.- A Multi-agent Case-based Reasoning Intrusion Detection System Prototype.- A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation.- An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities.- Retrieval of similar cases to improve the diagnosis of diabetic retinopathy.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Management Systems.- Explainable Multi-type Item Recommendation System based on Knowledge Graph.- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction.- MVARN: Multi-view attention relation network for figure question answering.- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation.- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM.- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification.- Multi-Display Graph Attention Network for Text Classification.- Debiased Contrastive Loss for Collaborative Filtering.- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization.- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering.- Hypergraph Enhanced Contrastive Learning for News Recommendation.- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs.- A Session Recommendation Model based on Heterogeneous Graph Neural Network.- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach.- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System.- Multi-level and Multi-interest User Interest Modeling for News Recommendation.- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation.- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning.- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation.- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation.- Heavy Weighting for Potential Important Clauses.- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation.- Multi-Path based Self-Adaptive Cross-Lingual Summarization.- Temporal Repetition Counting Based on Multi-Stride Collaboration.- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning.- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm.- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning.- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection.- Multi-task learning based skin segmentation.- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation.- Citation Recommendation Based on Knowledge Graph and Multi-task Learning.- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction.- The Minimal Negated Model Semantics of Assumable Logic Programs.- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsEmerging technologies for Knowledge science, engineering and management.- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics.- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds.- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark.- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning.- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning.- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios.- Research on remote sensing image classification based on Transfer learning and Data Augmentation.- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism.- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning.- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation.- Are GPT Embeddings Useful for Ads and Recommendation?.- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models.- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach.- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue.- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation.- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization.- Recent Progress on Text Summarisation Based on BERT and GPT.- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization.- A Legal Multi-Choice Question Answering Model Based on BERT and Attention.- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term.- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification.- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.- Learning Category Discriminability for Active Domain Adaptation.- Multi-Level Contrastive Learning for Commonsense Question Answering.- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model.- Univarite Time Series Forecasting via Interactive Learning.- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge.- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries.- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction.- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge.- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction.- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer.- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability.- RFLSem: A lightweight model for textual sentiment analysis.

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Book SynopsisThis book constitutes the proceedings of the 22nd International Conference on Computer Information Systems and Industrial Management, CISIM 2023, held in Tokio, Japan, during September 22-24, 2023. The 36 papers presented in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: biometrics and pattern recognition applications; computer information systems and security; industrial management and other applications; machine learning and artificial neural networks; modelling and optimization; wellbeing and affective engineering; and machine learning using biometric data and kansei data.Table of Contents​Biometrics and Pattern Recognition Applications.- Proposal of Earprint Authentication System Considering Pressing Force.- Performance Improvement of Person Verification Using Evoked EEG by Imperceptible Vibratory Stimulation.- Biometric gait analysis using wrist-mounted wearable sensors.- Finger minutiae extraction based on the use of YOLO-V5.- Computer Information Systems and Security.- Towards a Blockchain, smart contract, and NFT based medical waste classification system: a case study in Vietnam.- Towards a Blockchain, smart contract, and NFT based waste treatment system for developing countries: a case study in Vietnam.- A new file format for binarized images.- A new approach to the architecture of hybrid and multilayer steganographic methods.- A Game-based Approach for Mitigating the Sybil Attacks on Blockchain Applications.- Industrial Management and other Applications.- Dynamic Adaptive Capacity of metalworking companies in Barranquilla – Colombia: analysis from the export process in the 4.0 era.- An Ecological Unmanned Hot-Air Balloon for the Agricultural Lands’ Inspection.- SE-Coins System: Software for Supporting Gamificationbased Educational Processes.- The Effects Of Buyer-Supplier Collaboration On Supply Chain Performance: A Study In The Brazilian Electronics Sector.- Relationship between degree of appropriation of ICT and learning styles of teachers in training.- Efficacy of Flipped Learning in Engineering Education of India.- Hybrid Recommender System Model for Tourism Industry Competitiveness Increment.- Machine Learning and Artificial Neural Networks.- Insect detection on high-resolution images using Deep Learning.- Grading diabetic retinopathy using transfer learning-based convolutional neural networks.- Evaluating techniques based on supervised learning methods in Casas Kyoto dataset for Human Activity Recognition.- A Novel Self-Supervised Representation Learning Model for an Open-set Speaker Recognition.- How to boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes.- Neural Networks and Saliency Maps in Diabetic Retinopathy Diagnosis.- Towards Rough Set Theory for Outliers Detection in Questionnaire Data.- Modelling and Optimization.- Optimization of Bread Production using Neuro-Fuzzy Modelling.- Applications of graph topology in manufacturing of anti cancer drugs.- An Approach Toward Congestion Management for Improved Emergency Vehicle Management in Intelligent Urban Traffic Network.- Proposal of an algorithm for solving the component assignment problem of an adjacent triangle-(m, n):F triangular lattice system.- Music Recommender System Considering the Variations in Music Selection Criterion Using an Interactive Genetic Algorithm.- Fault detection of Moore finite state machines by structural models.- Investigation of Subjective Impression Perceived from Agent that Expresses Multiple Opinions Simultaneously.- ICBAKE 2023 Workshop.- Wellbeing and Affective Engineering.- Facial Expression Estimation Using Convolutional Neural Network with Upper and Lower Segmented Face Images.- Two-Step Classification Method for Sadness and Fear Facial Expression Classification Using Facial Feature Points and FACS.- Positiveness calculation of Japanese POPS using music features extracted from acoustic data.- Machine Learning Using Biometric Data and Kansei Data.- Classification of Programming Logic Understanding Level using Mouse Tracking Heatmaps and Machine Learning Techniques.- Investigating the Use of Machine Learning Methods for Levels of Sense of Presence Classification based on Eye Tracking Data.- Personalized Beverage Blending System Using Interactive Genetic Algorithm and its Search Analysis.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 9th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2023, held in Kristiansand, Norway, during June 28–30, 2023. The 22 full papers and 16 short papers included in this book were carefully reviewed and selected from 87 submissions. They were grouped into various subtopics including Knowledge Exploration in IoT, Medical Informatics, Machine Learning, Text Mining, Natural Language Processing, Cryptocurrency and Blockchain, Application of Artificial Intelligence, and other areas. Table of ContentsMultimodal Body Sensor for Recognizing the Human Activity using DMOA Based FS With DL.- Detection of Chicken Disease based on Day-Age using Pre-trained Model of CNN.- Image Captioning using Xception-Long Short-Term Memory.- Performance Analysis of Different Classifiers using HOG and LBP for Traffic Sign Detection.- Classification of the Class Imbalanced Data Using Mahalanobis Distance With Feature Filtering.- Towards Data-Centric Approaches to Lung Cancer Classification.- Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+.- Topic Classification of Text-Based Lesson Questions In Turkish with Berturk.- Highest Accuracy based Automated Depression Prediction using Natural Language Processing.- Crime Prediction using Modified Capsule Network with CrissCross Optimization on the Sentiment Analysis for Cyber-Security.- Sentiment Analysis using Lexical Approach and Fuzzy Logic.- HTTP, WebSocket, and SignalR: A Comparison of Real-Time Online Communication Protocols.- An IoT based Early Alert System to monitor and reduce Electrical Energy Consumption at Home in Smart Cities.- Securing the MANET by detecting the Flooding Attacks using Hybrid CNN-Bi-LSTM-RF Model.- The Smart Coverage Path Planner for Autonomous Drones Using TSP and Tree Selection.- UAV Smart Navigation: Combining Delaunay Triangulation and the Bat Algorithm for Enhanced Efficiency.- A Comparative Analysis of Data Backup and Network Consistency in Cluster-Base Wireless Sensor Network Protocols.- Development of IoT-Healthcare Model for Gastric Cancer from Pathological Images.- Glaucoma Detection using Yolo V5 Algorithm.- Glaucoma Detection using Yolo V5 Algorithm.- Efficient Chest X-Ray Investigation using Firefly Algorithm Optimized Deep and Handcrafted Features.- Disease Risks Prediction Based Web Application using Machine Learning.- Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis using Channel Attention Deep CNN Architecture.- Seasonal Disease based Demand Forecasting for Pharmaceutical Medications using Random Forest.- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease.- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease.- Ensemble Learning Based Social Engineering Fraud Detection Module for Cryptocurrency Transactions.- Analysis and Prediction of Crypto Currency using Deep Learning Algorithm.- Detecting the Attacks using Blockchain-Based Decentralized Security Architecture in IoT Environment.- Developing a system based on Block Chain Technology for E-Voting Mechanism.- A Permissioned Blockchain Approach for Real-Time Embedded Control Systems.- An Empirical Study of Machine Learning for Business Enterprises Management of Cloud Computing Services.- Prediction of Stock Market in Small-Scale Business using Deep Learning Techniques.- Predictive Intelligence based Semiconductor Substrate Fault Detection Model with User Interface.- Improving Sustainability with Deep Learning Models for Inland Water Quality Monitoring using Satellite Imagery.- Machine Learning Based Prediction of Student’s Performance Based on Psychological and Behavioral Data.- Task Scheduling based Optimized Based Algorithm for Minimization of Energy Consumption in Cloud Computing Environment.

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Book SynopsisThis book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norway, during September 18–20, 2023. The 13 full papers and 3 short papers included in these proceedings were carefully reviewed and selected from 46 submissions. They focus on all aspects of theoretical advances; novel technologies; innovative applications; knowledge representation; reasoning with rules; and research, development, applications of rule-based systems. Table of ContentsPapers.- Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment.- GUCON: A Generic Graph Pattern based Policy Framework for Usage Control Enforcement.- Combining Proofs for Description Logic and Concrete Domain Reasoning.- Notation3 as an Existential Rule Language.- Fine-tuning Large Enterprise Language Models via Ontological Reasoning.- Layerwise Learning of Mixed Conjunctive and Disjunctive Rule Sets.- Analyzing Termination for Prev-Aware Fragments of Communicating Datalog Programs.- Marrying Query Rewriting and Knowledge Graph Embeddings.- Lore: Educational Deductive Database System.- Comparing State of the Art Rule-Based Tools for Information Extraction.- A Case Study for Declarative Pattern Mining in Digital Forensics.- Semantic Role Assisted Natural Language Rule Formalization for Intelligent Vehicle.- FreeCHR: An Algebraic Framework for CHR-Embeddings.- Explaining the optimal trajectories.- Abstract Domains for Database Manipulating Processes.- Extracting Interpretable Hierarchical Rules from Deep Neural Networks’ Latent Space.

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Book SynopsisThis two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11–15, 2023. The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works. The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.Table of ContentsTheory, History and Foundations.- Interpretation as Play: A Cognitive Psychological Model of Inference and Situation Model Construction.- When has theory ever failed us?.- A Refinement-Based Narrative Model for Escape Games.- Social and Cultural Contexts.- IDNs in Education: Skills for Future Generations.- Centering the Human: Digital Humanism and the Practice of Using Generative AI in the Authoring of Interactive Digital Narratives.- Digital storytelling in women in tech communities.- VR storytelling to prime uncertainty avoidance.- Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to re-centre Stories from the Margins.- Decolonizing IDN pedagogy from and with Global South:a a cross-cultural case study.- Fighting Against Hate Speech: a case for harnessing Interactive Digital Counter-narratives.- VR for Diversity. The Seven Lives of a Research Project.- Tools and Systems.- Awash: Prospective Story Sifting Intervention for Emergent Narrative.- Prompt Engineering for Narrative Choice Generation.- The Narralive Unity plug-in: Towards bridging the gap between intuitive branching narrative design and advanced visual novel development.- Interactive Narrative Design.- Discovering IDN Authoring Strategies: Novices Anchor Choice Design through Character Development With Player Feedback.- On the Interactions Between Narrative Puzzles and Navigation Aids in Open World Games.- Lovecraftian Horror in Story-Driven Games: Narrative Design Challenges and Solutions.- Designing Sisters: Creating Audio-Based Narratives to Generate Affective Connections and Material Story Worlds.- Bookwander: From Printed Fiction to Virtual Reality – Four Design Approaches for Enhanced VR Reading Experiences.- Story-without-end: a structure for open-world cinematic VR.- Integrating Narrative Design into the World Economic Forum’s Transformation Maps for Enhance Complexity Comprehension.- Full-Motion Video as Parameterized Replay Stories: Emerging Design Patterns from the Timeline Authoring Platform.- From Playing the Story to Gaming the System: Repeat Experiences of a Large Language Model-based Interactive Story-. A Board Game Hootopia: Biodiversity Education through Tangible and Interactive Narrative.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.Table of ContentsGenerative AI for Explainable Automated Fact Checking on the FactEx: a New Benchmark Dataset.- Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media.- faKy: A Feature Extraction Library to Detect the Truthfulness of a Text.- From sharing misinformation to debunking it: How Coordinated Image Text Sharing Behaviour is used in political campaigns on Facebook.- The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content.- Lost in Transformation: Rediscovering LLM-generated Campaigns in Social Media.- The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election.- Coordinated Information Campaigns on Social Media: A Multifaceted Framework for Detection and Analysis.- Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News.- Holistic Analysis of Organised Misinformation Activity in Social Networks.- Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns.- ChatGPT as a commenter to the news: can LLMs generate human-like opinions?.- Is foreign language news more or less credible than native language news? Examining the foreign language effect on credibility perceptions.

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Book SynopsisThis book offers a comprehensive guide to the world of metadata, from its origins in the ancient cities of the Middle East, to the Semantic Web of today. The author takes us on a journey through the centuries-old history of metadata up to the modern world of crowdsourcing and Google, showing how metadata works and what it is made of. The author explores how it has been used ideologically and how it can never be objective. He argues how central it is to human cultures and the way they develop. Metadata: Shaping Knowledge from Antiquity to the Semantic Web is for all readers with an interest in how we humans organize our knowledge and why this is important. It is suitable for those new to the subject as well as those know its basics. It also makes an excellent introduction for students of information science and librarianship. Trade Review“In Metadata: Shaping Knowledge from Antiquity to the Semantic Web, Gartner, the digital librarian at the Warburg Institute at the University of London, thoroughly covers not only the history of metadata, but how it affects and forms knowledge and culture. … The author concludes the work with recent advances in metadata creation—metadata produced via Web 2.0, crowdsourcing, and folksonomies. This is a meticulous overview of metadata and its history and application. Summing Up: Recommended. Graduate students, faculty, and professionals.” (A. Hollister, Choice, Vol. 54 (9), May, 2017)“The book presents an enjoyable bird’s-eye view of metadata and related concepts, with outstanding examples accessible to non-experts. … I highly recommend the book.” (H. I. Kilov, Computing Reviews, May, 2017)“The book covers continuous evolution of metadata from the history of cataloguing to the modern forms … . This book will attract readers interested in metadata, the semantic web, metadata ontologies, digital libraries, and semantic retrieval. So, it is highly recommended to information professionals, digital librarians and students. The book is well structured and motivating. The results of Gartner’s effort are very much worth reading due to his librarianship perspective on metadata.” (Elaheh Hossseini, Information Research, informationr.net, Vol. 22 (1), March, 2017)“All of the usual elements of a book on metadata are present and correct … I would urge you to read this book if you are new to cataloguing or if you are old in cataloguing and world-weary about our professional mission. It’s a book to provoke your own thoughts, and quite possibly to give to your manager if you suspect they are unsure why metadata, why cataloguing and, therefore, why you and your team matter.” (Anne Welsh, Catalogue and Index, cilip.org.uk, Issue 186, March, 2017) “The book provides an overview of existing metadata approaches and standards such as MARC, Dublin Core, MIX and EAD. This book also offers a succinct history of metadata and discusses emerging metadata approaches. … This book can be read by both technical and non-technical people as it uses a rather accessible language. Metadata makes information finding easier. This is an excellent read and I highly recommend it to my colleagues and friends.” (Getaneh Alemu, Linkedin.com, January, 2017)“This slim volume aims to provide the reader with an overview of the history and development of metadata from the earliest times to the present day, and it offers a straightforward and readable account of metadata for the novice or the non-professional. … There is plenty here to intrigue and entertain for those wanting a lightweight introduction to the subject, at a very attractive price … .” (Vanda Broughton, Library & Information History, Vol. 33 (2), 2017)Table of ContentsWhat Metadata is and why it Matters.- Clay, Goats and Trees: Metadata before the Byte.- Metadata Becomes Digital.- Metadata as Ideology.- The Ontology of Metadata.- The Taxonomic Urge.- From Hierarchies to Networks.- Breaking the Silos.- Democratizing Metadata.- Knowledge and Uncertainty.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference on Persuasive Technology, PERSUASIVE 2017, held in Amsterdam, The Netherlands, in April 2017. The 23 revised full papers presented were carefully reviewed and selected from 85 submissions. The papers are grouped in topical sections on health(care), monitoring, and coaching; personality, personalization, and persuasion; motivations, facilitators, and barriers; design principles and strategies.Table of ContentsHealth(care), monitoring, and coaching.- Personality, personalization, and persuasion.- Motivations, facilitators, and barriers.- Design principles and strategies.

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