Information retrieval Books

Book SynopsisThis book constitutes the refereed proceedings of the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022. The 22 papers included in this book were carefully reviewed and selected from 98 submissions. They were organized in topical sections as follows: task mining; design methods; process mining; process mining practice; analytics; and systems. The book also includes one keynote talk in full-paper length and 5 tutorial papers. Table of ContentsKeynote.- Advancing Business Process Science via the Co-Evolution of Substantive and Methodological Knowledge.- Tutorials.- BPM in Digital Transformation: New Tools and Productivity Challenges.- Multi-Dimensional Process Analysis.- Theory and Practice - What, With What and How Is Business Process Management Taught at German Universities.-How to Leverage Process Mining in Organizations - Towards Process Mining Capabilities.- Mastering Robotic Process Automation with Process Mining.- Task Mining.- A Reference Data Model for Process-Related User Interaction Logs.- Analysing Variable Human Actions for Robotic Process Automation.- The SWORD is Mightier than the Interview: A Framework for Semi-automatic WORkaround Detection.- Design Methods.- Back to the Roots – Investigating the Theoretical Foundations of Business Process Maturity Models.- Applying Process Mining in Small and Medium sized IT Enterprises – Challenges and Guidelines.- A Process Mining Success Factors Model.- Process Mining.- No Time to Dice: Learning Execution Contexts from Event Logs for Resource-Oriented Process Mining.- A Purpose-Guided Log Generation Framework.- Conformance Checking with Uncertainty via SMT.- Process Mining Practice.- The Dark Side of Process Mining. How Identifiable Are Users Despite Technologically Anonymized Data? A Case Study From the Health Sector.- Analyzing How Process Mining Reports Answer Time Performance Questions.- Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.- Process Mining Practices: Evidence from Interviews.- Analytics.- Measuring Inconsistency in Declarative Process Specifications.- Understanding and Decomposing Control-Flow Loops in Business Process Models.- Reasoning on Labelled Petri Nets and their Dynamics in a Stochastic Setting.- Incentive Alignment through Secure Computations.- Business Process Simulation with Differentiated Resources: Does it Make a Difference.- Uncovering Object-centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL.- Systems.- Why Companies Use RPA: A Critical Reflection of Goals.- A trustworthy decentralized change propagation mechanism for declarative choreographies.- Architecture of decentralized Process Management Systems.

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Book SynopsisThis book provides a new model to explore discoverability and enhance the meaning of information. The authors have coined the term epidata, which includes items and circumstances that impact the expression of the data in a document, but are not part of the ordinary process of retrieval systems. Epidata affords pathways and points to details that cast light on proximities that might otherwise go unknown. In addition, epidata are clues to mis-and dis-information discernment. There are many ways to find needed information; however, finding the most useable information is not an easy task. The book explores the uses of proximity and the concept of epidata that increases the probability of finding functional information. The authors sketch a constellation of proximities, present examples of attempts to accomplish proximity, and provoke a discussion of the role of proximity in the field. In addition, the authors suggest that proximity is a thread between retrieval constructs based on known topics, predictable relations, and types of information seeking that lie outside constructs such as browsing, stumbling, encountering, detective work, art making, and translation.Table of ContentsProximity and Clues.- More than Meets the Eye.- Epidata, Clues, Threads, and Webs.- Provocations and Invitations.

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Book SynopsisThis two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.Table of ContentsKnowledge Management and Intellectual Capital.- Enabling Knowledge Management Practices in Museums: Benefits of and Barriers to Achieving Public Value.- How Much Context Do Users Provide in App Reviews? Implications for Requirements Elicitation.- Evaluating Tools for Data Management Plans: A Comparative Study of the DART Rubric and the Belmont Scorecard.- Topic Evolution Analysis Based on Optimized Combined Topic Model: Illustrated as CRISPR Technology.- “Design, Design, and Design Again”: An Information-Architecture Redesign Workflow from Case Studies of a Government Portal and a Learning-management System.- What Does Provenance LACK: How Retrospective and Prospective Met the Subjunctive.- Exploration of Accuracy, Completeness and Consistency in Metadata for Physical Objects in Museum Collections.- Social Media and Digital Networks.- How We Express Ourselves Freely: Censorship, Self-censorship, and Anti-censorship on a Chinese Social Media.- Impact of Social Media on Self-Esteem and Emotions: An Instagram-based Case Study.- Motivations, Purposes, and Means of Creating Information Cocoons Intentionally for Oneself: Looking on the Bright Side.- Left and Right Retweets! Curation Logics During Black History Month.- Libraries.- Another Named Storm! Building Resiliency Through Florida’s Essential Public Libraries.- Digital Experiences in Physical Spaces: Virtual Reality and Public Libraries in Aotearoa New Zealand.- What Do We Do with the Fruits of Open Educational Practices? A Case for Open Educational Collections.- Terminology Preferences of the LGBTQ+ Community: A User Study.- Exploring the Concept of Library Use: A Research Review.- Shared LGBTQ+ Identity in Librarian-Community Partnerships.- Bridging the Gap between Research and Practice in Library Science through Library Society of China: A Pilot Study.- Automation of University Library Operations: An Analysis of the Covid-19 Pandemic Experience in the United Kingdom and Nigeria.- Human-Computer Interaction and Technology.- What Makes a Technology Privacy Enhancing? Laypersons' and Experts' Descriptions, Uses, and Perceptions of Privacy Enhancing Technologies.- A Critique of Using Contextual Integrity to (Re)consider Privacy in HCI.- Audience Video Game Engagement in a Live Streaming Context: Examining the Role of Perceived Influence of Game Streamers from the Self-determination Perspective.- A Surprise Birthday Party in VR: Leveraging Social Virtual Reality to Maintain Existing Close Ties Over Distance.- “Monday Feels Like Friday!” - Towards Overcoming Anxiety and Stress of Autistic Young Adults during Times of Isolation.- Self-Tracking to Manage Chronic Illness: Exploring User Agency in Apps for Diabetes Self-Management.- Autism and Virtual Reality Interventions: Research Trends and Practices.- Towards a Useful Chinese Annotation Tool: An Examination of Annotators’ Practice and Needs.- Information Retrieval.- Similarity Visualizer using Natural Language Processing in Academic Documents of the DSpace in Ecuador.- Information Retrieval Research in Academia and Industry: A Preliminary Analysis of Productivity, Authorship, Impact, and Topic Distribution.- Career-Based Explainable Course Recommendation.- A Benchmark of PDF Information Extraction Tools Using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents.- Contextualizing Session Resuming Reasons with Tasks Involving Expected Cross-session Searches.- Community Informatics. -Time Lag Analysis of Adding Scholarly References to English Wikipedia: How Rapidly are They Added to and How Fresh are They.- Examining Interest in Open Government Data Through Digital Traces.- “Trapped” by Recommendation Algorithms? A Mixed Methods Study on the Use of Content Recommendation System in Everyday Life in Western China.- Community Design of a Knowledge Graph to Support Interdisciplinary Ph.D. Students.- Potential of Participatory Geographic Information System to Build Environmental Information Ecosystem and Claim Environmental Justice: A Research Agenda for Fisherfolk Community in Bangladesh.- Caring for People, Caring for Their Data: Data Stewardship and Collaborative Care in Social Service Provision for People Experiencing Homelessness.- Is there a Scientific Digital Divide? Information Seeking in the International Context of Astronomy Research.- Digital Information Infrastructures.- The Conceptualization of Digital Inclusion in Government Policy: A Qualitative Content Analysis.- Dublin Core Metadata Created by Kuwaiti Students: Exploration of Quality in Context.- Trustworthy Digital Repository Certification: A Longitudinal Study.- Design Principles for Background Knowledge to Enhance Learning in Citizen Science.- ``We Avoid PDFs'': Improving Notation Access for Blind and Visually Impaired Musicians.- The Rural Informatization Policies in China: The Power Dynamics and Policy Instruments.

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Book SynopsisThe three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.Table of ContentsFull Papers.- Automatic Summarization of Financial Earnings Calls Transcript.- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters.- Feature Differentiation and Fusion for Semantic Text Matching.- Multivariate Powered Dirichlet-Hawkes Process.- Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times.- Topic-Enhanced Personalized Retrieval-based Chatbot.- Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets.- SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval.- Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection.- What is your cause for concern? Towards Interpretable Complaint Cause Analysis.- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations.- Domain-aligned Data Augmentation for Low-resource and Imbalanced Text Classification.- Privacy-Preserving Fair Item Ranking.- Multimodal Geolocation Estimation of News Photos.- Topics in Contextualised Attention Embeddings.- New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches.- Probing BERT for Ranking Abilities.- Clustering of Bandit with Frequency-Dependent Information Sharing.- Contrastive Graph Learning with Positional Representation for Recommendation.- Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.- Short PapersImproving Neural Topic Models with Wasserstein Knowledge Distillation.- Towards Effective Paraphrasing for Information Disguise.- Generating Topic Pages for Scientific Concepts Using Scientific Publications.- Relevance Judgements for Fair Ranking.- A Study of Term-Topic Embeddings for Ranking.- Topic Refinement in Multi-Level Hate Speech Detection.- Is Cross-modal Information Retrieval Possible without Training?.- Adversarial Adaptation for French Named Entity Recognition.- Exploring Fake News Detection with Heterogeneous Social Media Context Graphs.- Justifying Multi-Label Text Classifications for Healthcare Applications.- Doc2Query–: When Less is More.- Towards Quantifying The Privacy Of Redacted Text. -Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study.- Leveraging Comment Retrieval for Code Summarization.- CPR: Cross-domain Preference Ranking with User Transformation.- Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval.- C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval.- Joint Extraction and Classification of Danish Competences for Job Matching.- A Study on FGSM Adversarial Training for Neural Retrieval.- Dialogue-to-Video Retrieval.- Time-dependent next-basket recommendations.- Investigating the Impact of Query Representation on Medical Information Retrieval.- Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children’s Queries.- Multi-document QA with GPT-3 and Neural Reranking .- Towards Detecting Interesting Ideas Expressed in Text.- Towards Linguistically Informed Multi-Objective Transformer Pre-Training for Natural Language Inference.- Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks.- Consumer Health Question Answering Using Off-the-shelf Components.- MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization.- Don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments.- Learning Query-Space Document Representations for High-Recall Retrieval.- Investigating Conversational Search Behavior For Domain Exploration.- Evaluating Humorous Response Generation to Playful Shopping Requests.- Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents.- Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection.- The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance.- Neural Ad hoc Retrieval Meets Information Extraction.- Augmenting Graph Convolutional Networks with Textual Data for Recommendations.- Utilising Twitter Metadata for Hate Classification.- Evolution of Filter Bubbles and Polarization in News Recommendation.- Capturing Cross-platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns.

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Book SynopsisThe three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.Table of ContentsReproducibility Papers.- Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation.- Stat-weight: Improving the Estimator of Interleaved Methods Outcomes with Statistical Hypothesis Testing.- A Reproducibility Study of Question Retrieval for Clarifying Questions.- The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer.- Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study.- Index-Based Batch Query Processing Revisited.- A Unified Framework for Learned Sparse Retrieval.- Entity Embeddings for Entity Ranking: A Replicability Study.- Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?.- PyGaggle: A Gaggle of Resources for Open-Domain Question Answering.- Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering.- From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track.- Demonstration Papers.- Exploring Tabular Data Through Networks.- InfEval: Application for Object Detection Analysis.- The System for Efficient Indexing and Search in the Large Archives of Scanned Historical Documents.- Public News Archive: A Searchable Sub-Archive to Portuguese Past News Articles.- TweetStream2Story: Narrative Extraction from Tweets in Real Time.- SimpleRad: patient-friendly Dutch radiology reports.- Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data.- Continuous Integration for Reproducible Shared Tasks with TIRA.io.- Dynamic Exploratory Search for the Information Retrieval Anthology.- Text2Storyline: Generating Enriched Storylines From Text.- Uptrendz: API-Centric Real-Time Recommendations in Multi-Domain Settings.- Clustering Without Knowing How To: Application and Evaluation.- Enticing local governments to produce FAIR freedom of information act dossiers.- Which Country is this? Automatic Country Ranking of StreetView Images.- Automatic Videography Generation from Audio Tracks.- Ablesbarkeitsmesser: A System for Assessing the Readability of German Text.- FACADE: Fake Articles Classification And Decision Explanation.- PsyProf: A Platform for Assisted Screening of Depression in Social Media.- SOPalign: A Tool for Automatic Estimation of Compliance with Medical Guidelines.- Tutorials.- Understanding and Mitigating Gender Bias in Information Retrieval Systems.- Neuro-Symbolic Representations for Information Retrieval.- Legal IR and NLP: the History, Challenges, and State-of-the-Art.- Deep Learning Methods for Query Auto Completion.- Trends and Overview: The Potential of Conversational Agents in Digital Health.- Crowdsourcing for Information Retrieval.- Uncertainty Quantification for Text Classification.- Workshops.- Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023).- The 6th International Workshop on Narrative Extraction from Texts (Text2Story’23).- 2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS): Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems.- Workshop QPP++ 2023: Query Performance Prediction and Ist Evaluation in New Tasks.- Bibliometric-enhanced Information Retrieval: 13th International BIR Workshop (BIR˜2023).- Geographic information extraction from texts (GeoExT).- ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval.- ECIR 2023 workshop proposal: Legal Information Retrieval.- Doctoral Consoritum.- Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing.- Text Information Retrieval in Tetun.- Identifying and Representing Knowledge Delta in Scientific Literature.- Investigation of Bias in Web Search Queries.- Monitoring online discussions and responses to support the identification of misinformation.- User Privacy in Recommender Systems.- Conversational Search for Multimedia Archives.- Disinformation Detection: Knowledge Infusion with Transfer Learning and Visualizations.- A Comprehensive Overview of Consumer Conflicts on Social Media.- Designing useful conversational interfaces for information retrieval in career decision-making support.- CLEF Lab Descriptions iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.- LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023.- The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority.- Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection.- Overview of Touché 2023: Argument and Causal Retrieval.- CLEF 2023 SimpleText Track: What Happens if General Users Search Scientific Texts?.- Science for Fun: The CLEF 2023 JOKER Track on Automatic Wordplay Analysis.- ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications.- LifeCLEF 2023 teaser: Species Identification and Prediction Challenges.- BioASQ at CLEF2023: The eleventh edition of the Large-scale biomedical semantic indexing and question answering challenge.- eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges.- Overview of EXIST 2023: sEXism Identification in Social neTworks.- DocILE 2023 Teaser: Document Information Localization and Extraction.

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Book SynopsisThis book explores the rich history of the keyword from its earliest manifestations (long before it appeared anywhere in Google Trends or library cataloging textbooks) in order to illustrate its implicit and explicit mediation of human cognition and communication processes. The author covers the concept of the keyword from its deictic origins in primate and proto-speech communities, through its development within oral traditions, to its initial appearances in numerous graphical forms and its workings over time within a variety of indexing traditions and technologies. The book follows the history all the way to its role in search engine optimization and social media strategies and its potential as an element in the slowly emerging semantic web, as well as in multiple voice search applications. The author synthesizes different perspectives on the significance of this often-invisible intermediary, both in and out of the library and information science context, helping readers to understand how it has come to be so embedded in our daily life.This book: Provides a thorough history of the keyword, from primate and proto-speech communities to current times Explains how the concept of the keyword relates to human cognition and communication processes Highlights the applications of the keyword, both in and out of the library and information science context Table of ContentsChapter 1 - Representation, Reference, Relevance, and Retention.- Chapter 2 - Signals, Semiotics.- Chapter 3 - Proto-Words, Proto-Signs.- Chapter 4 - Philologies, Philosophies, Pragmatics.- Chapter 5 - Rites, Religions.- Chapter 6 - Writing, Indexing.- Chapter 7 - Progress, Public.- Chapter 8 - Discovery, Retrieval.- Chapter 9 - Databases, Search Engines.

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Book SynopsisThis book constitutes the refereed proceedings of the 20th International Conference onThe Semantic Web, ESWC 2023, held in Hersonissos, Crete, Greece, during May 28–June 1, 2023.The 41 full papers included in this book were carefully reviewed and selected from 167 submissions. They are organized in topical sections as follows: research, resource and in-use.Table of ContentsResearch.- Explainable Phenotype-Centric Drug Repurposing via Deep Reinforcement Learning.- A Comparative Study of Stream Reasoning Engines.- Join Ordering of SPARQL Property Path Queries.- Rening Large Integrated Identity Graphs using the Unique NameAssumption.- Structural Bias in Knowledge Graphs for the Entity Alignment Task.- A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports.- Transformer based Semantic Relation Typing for Knowledge Graph Integration.- Entity Linking for KGQA Using AMR Graphs.- REGNUM: Generating Logical Rules with Numerical Predicates in Knowledge Graphs.- Classifying sequences by combining context-free grammars and OWL ontologies.- NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker.- iSummary: Workload-based, Personalized summaries for Knowledge Graphs.- Neural Class Expression Synthesis.- Evaluating Language Models for Knowledge Base Completion.- Subsumption Prediction on E-Commerce Taxonomies.- Two-view Graph Neural Networks for Knowledge Graph Completion.- GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering.- Repairing EL ontologies using weakening and completing.- Activity Recommendation for Business Process Modeling with Sequence-to-Sequence Models.- Resource.- RELD: A Knowledge Graph of Relation Extraction Datasets.- The Internet Meme Knowledge Graph.- Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG.- A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning.- LauNuts: A Knowledge Graph to identify and compare geographic regions in the European Union.- HHT : an approach for representing temporally-evolving historical territories.- An Upper Ontology for Modern Science Branches and Related Entities.- K-Hub: a modular ontology to support document retrieval and knowledge extraction in Industry 5.0.- pyRDF2Vec: A Python Implementation and Extension of RDF2Vec.- Boosting Knowledge Graph Generation from Tabular Data with RML Views.- A knowledge graph of contentious terminology for inclusive representation of cultural heritage.- LegalHTML: a Representation Language for Legal Acts.- Whyis 2: An Open Source Framework for Knowledge Graph Development and Research.- In-Use.- Prototyping an End-User User Interface for the Solid Application Interoperability Specication under GDPR.- SemReasoner - A high-performance Knowledge Graph Store and rule-based Reasoner.- LIS: A Knowledge Graph-based Line Information System.- Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction.- Understanding Customer Requirements - an Enterprise Knowledge Graph Approach.- Investigating Ontology-based data access with GitHub.- Enabling Live SPARQL Queries Over ConceptNet Using Triple Pattern Fragments.- Evaluation of a Representative Selection of SPARQL Query Enginesusing Wikidata.- MOSAIK: An Agent-Based Decentralized Control System withStigmergy For A Transportation Scenario.

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Book SynopsisThis book constitutes the proceedings of the 27th International Conference on Implementation and Application of Automata, CIAA 2023, held in Famagusta, North Cyprus, during September 19–22, 2023. The 20 regular papers presented in this book together with invited talks were carefully reviewed and selected from 30 submissions. The topics of the papers cover various fields in the application, implementation, and theory of automata and related structures.Table of ContentsFinite automata as verifiers.- Binary Coded Unary Regular Languages.- A Survey on Automata with Translucent Letters.- Earliest Query Answering for Deterministic Stepwise Hedge Automata.- Constrained Multi-Tildes.- On the smallest synchronizing terms of finite tree automata.- Universal First-Order Quantification over Automata.- Average Complexity of Partial Derivatives for Synchronised Shuffle Expressions.- Sweep complexity revisited.- The Pumping Lemma for Regular Languages is Hard.- M-equivalence of Parikh Matrix over a Ternary Alphabet.- Operational Complexity in Subregular Classes.- When Is Context-Freeness Distinguishable from Regularity? An Extension of Parikh's Theorem.- Enhanced Ternary Fibonacci Codes.- Sweeping Input-Driven Pushdown Automata.- Verified Verifying: SMT-LIB for Strings in Isabelle.- Weighted Bottom-up and Top-down Tree Transformations Are Incomparable.- Deciding whether an Attributed Translation can be realized by a Top-Down Transducer.- A time to cast away stones.- Two-way Machines and de Bruijn Words.- Transduction of Automatic Sequences and Applications.- Measuring Power of Generalised Definite Languages.- Smaller Representation of Compiled Regular Expressions.

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Book SynopsisThis book constitutes the refereed proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022, held in Valletta, Malta, during October 24–26, 2022.The 14 full papers included in this book were carefully reviewed and selected from 127 submissions. They were organized in topical sections as follows: Knowledge Discovery and Information Retrieval; Knowledge Engineering and Ontology Development; and Knowledge Management and Information SystemsTable of Contents​Knowledge Discovery and Information Retrieval.- Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification.- Degree Centrality Definition, and Its Computation for Homogeneous Multilayer Networks Using Heuristics-Based Algorithms.- A Dual-Stage Noise Training Scheme for Breast Ultrasound Image Classification.- A General-Purpose Multi-Stage Multi-Group Machine Learning Framework for Knowledge Discovery and Decision Support.- Comparative Assessment of Deep end-to-end, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification.- Knowledge Engineering and Ontology Development.- CIE: A Cloud-Based Information Extraction System for Named Entity Recognition in AWS, Azure, and Medical Domain.- From Natural Language Texts to RDF Triples: A Novel Approach to Generating e-Commerce Knowledge Graphs.- Situational Question Answering over Commonsense Knowledge Using Memory Nets.- Archives Metadata Text Information Extraction into CIDOC-CRM.- Evolution of Computational Ontologies: Assessing Development Processes Using Metrics.- System to Correct Toxic Expression with BERT and to Determine the Effect of the Attention Value.- Knowledge Management and Information Systems.- Machine Learning Decision Support for Production Planning and Control Based on Simulation-Generated Data..- FAIRification of CRIS: A Review.- Measuring Augmented Reality and Virtual Reality Trajectory in the Training Environment.- DroNit Project: Improving Drone Usage for Civil Defense Applications.- Innovation Processes and Information Technologies: A Study of Boutique Hotels in Valletta, Malta.

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Book Synopsis.- Research Track..- An Efficient Framework for Approximate Nearest Neighbor Search on High-dimensional Multi-metric Data..- REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods..- ETDD70: Eye-Tracking Dataset for Classification of Dyslexia using AI-based Methods..- Demonstrating the Efficacy of Polyadic Queries..- Scalable Polyadic Queries..- A Dynamic Evaluation Metric for Feature Selection..- Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos..- Impact of the Neighborhood Parameter on Outlier Detection Algorithms..- Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment..- Bayesian Estimation Approaches for Local Intrinsic Dimensionality..- Towards Personalized Similarity Search for Vector Databases..- Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis..- An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search..- On the Design of Scalable Outlier Detection Methods using Approximate Nearest Neighbor Graphs..- A Topological Evaluation Model for Manifold Learning and Embedding Techniques..- Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration..- Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series..- Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers..- Advancing the PAM Algorithm to Semi-Supervised k-Medoids Clustering..- Hierarchical Clustering without Pairwise Distances by Incremental Similarity Search..- Indexing Challenge..- Overview of the SISAP 2024 Indexing Challenge..- Scaling Learned Metric Index to 100M Datasets..- Grouping Sketches to Index High-Dimensional Data in a Resource Limited Setting..- Adapting the Exploration Graph for high throughput in low recall regimes..- Top-Down Construction of Locally Monotonic Graphs for Similarity Search.

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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 9th International Conference on Data-Driven Innovation, ICT Innovations 2017, held in Skopje, Macedonia, in September 2017. The 26 full papers presented were carefully reviewed and selected from 90 submissions. They cover the following topics: big data analytics, cloud computing, data mining, digital signal processing, e-health, embedded systems, emerging mobile technologies, multimedia, Internet of Things (IoT), machine learning, software engineering, security and cryptography, coding theory, wearable technologies, wireless communication, and sensor networks.Table of ContentsData-driven innovations, organized around topics such as increasing migration of socio-economic activities to the Internet.- The decline in the cost of data collection, storage and processing.- The generation and use of huge volumes of data.- Large datasets becoming a core asset in research and economy fostering new discoveries, new industries, new processes.

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Book SynopsisThis is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.Trade Review“The author of the book, Wil van der Aalst, is very knowledgeable in the area. … His research interests are workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. … I enjoyed reading the book and learned about process mining. It will be helpful to researchers and industry professionals working on fields related to business processes such as business intelligence and workflow management.” (Gulustan Dogan, Computing Reviews, March, 2017)Table of ContentsIntroduction.- Preliminaries.- From Event Logs to Process Models.- Beyond Process Discovery.- Putting Process Mining to Work.- Reflection.- Epilogue.

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Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques. Table of ContentsDTNMA: Identifying Routing Attacks in Delay-Tolerant Network.- Classification Framework for Fraud Detection Using Hidden Markov Model.- Analysis of the Beaufort Cipher Expansion Technique and Its Usage in Providing Data Security in Cloud.- Virtual Keyboard Using Image Processing & Computer Vision.- Next Step to the Future of Restaurants Through Artificial Intelligence and Facial Recognition.- A Comparative Study into Stock Market Prediction Through Various Sentiment Analysis Algorithms.- Bangla Document Categorization Using Deep RNN Model with Attention Mechanism.- Bangla Handwritten Digit Recognition.- A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN.- COVID-19 Pandemic Diagnosis and Analysis Using Clinical Decision Support Systems.- Predictive Analysis of the Recovery Rate from Corona Virus(Covid-19).- Deep Learning Approaches for Spatio-Temporal Clues Modelling.- The Practical Enactment of Robotics and Artificial Intelligence Technologies in E-COMMERCE.- Comparative Analysis of Brain Tumor Segmentation with Fuzzy C-Means Using Multi-Core CPU and CUDA on GPU.- Multiregional Segmentation of High-Grade Glioma Using Modified Deep UNET Model with Edge-detected Multimodal MRI Images.

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Book SynopsisChapter 1. Introduction.- Chapter 2. Scalable Supervised Asymmetric Hashing.- Chapter 3. Inductive Structure Consistent Hashing.- Chapter 4. Probability Ordinal-preserving Semantic Hashing.- Chapter 5. Ordinal-preserving Latent Graph Hashing.- Chapter 6. Deep Collaborative Graph Hashing.- Chapter 7. Semantic-Aware Adversarial Training.- Index.

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Book Synopsis

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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