Information retrieval Books

Book SynopsisThis book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020.The 12 full papers and 6 short papers presented were carefully selected from 26 submissions. The papers are organized in topical sections on information retrieval, bid data and data science in DL; cultural heritage; open science. Table of ContentsInformation Retrieval.- Bid Data and Data Science in DL.- Cultural Heritage.- Open Science.

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Book SynopsisThis volume contains a collection of studies in the areas of complexity theory and property testing. The 21 pieces of scientific work included were conducted at different times, mostly during the last decade. Although most of these works have been cited in the literature, none of them was formally published before. Within complexity theory the topics include constant-depth Boolean circuits, explicit construction of expander graphs, interactive proof systems, monotone formulae for majority, probabilistically checkable proofs (PCPs), pseudorandomness, worst-case to average-case reductions, and zero-knowledge proofs.Within property testing the topics include distribution testing, linearity testing, lower bounds on the query complexity (of property testing), testing graph properties, and tolerant testing. A common theme in this collection is the interplay between randomness and computation.Table of ContentsA Probabilistic Error-Correcting Scheme that Provides Partial Secrecy.- Bridging a Small Gap in the Gap Ampli cation of Assignment Testers.- On (Valiant's) Polynomial-Size Monotone Formula for Majority.- Two Comments on Targeted Canonical Derandomizers.- On the Effect of the Proximity Parameter on Property Testers.- On the Size of Depth-Three Boolean Circuits for Computing Multilinear Functions.- On the Communication Complexity Methodology for Proving Lower Bounds on the Query Complexity of Property Testing.- Super-Perfect Zero-Knowledge Proofs.- On the Relation between the Relative Earth Mover Distance and the Variation Distance (an exposition).- The Uniform Distribution is Complete with respect to Testing Identity to a Fixed Distribution.- A Note on Tolerant Testing with One-Sided Error.- On Emulating Interactive Proofs with Public Coins.- Reducing Testing Affine Spaces to Testing Linearity of Functions.- Deconstructing 1-Local Expanders.- Worst-case to Average-case Reductions for Subclasses of P.- On the Optimal Analysis of the Collision Probability Tester (an exposition).- On Constant-Depth Canonical Boolean Circuits for Computing Multilinear Functions.- Constant-Round Interactive Proof Systems for AC0[2] and NC1.- Flexible Models for Testing Graph Properties.- Pseudo-Mixing Time of Random Walks.- On Constructing Expanders for any Number of Vertices.

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Book SynopsisThis book constitutes the refereed proceedings of the 8th IFIP WG 2.14 European Conference on Service-Oriented and Cloud Computing, ESOCC 2020, held in Heraklion, Crete, Greece, in September 2020. The 6 full and 8 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The main event mapped to the main research track which focused on the presentation of cutting-edge research in both the service-oriented and cloud computing areas. In conjunction, an industrial track was also held attempting to bring together academia and industry through showcasing the application of service-oriented and cloud computing research, especially in the form of case studies, in the industry.The chapters ‘Identification of Comparison Key Elements and their Relationships for Cloud Service Selection’ and ‘Technology-Agnostic Declarative Deployment Automation of Cloud Applications’ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsFormal Methods.- Testing conformance in multi-component enterprise application management.- Formalizing Event-Driven Behavior of Serverless Applications.- Probabilistic Verification of Outsourced Computation Based on Novel Reversible PUFs.- Cloud Service and Platform Selection.- Multiplayer game backends: A Comparison of commodity cloud-based approaches.- Are Cloud Platforms Ready for Multi-Cloud?.- Identification of Comparison Key Elements and their Relationships for Cloud Service Selection.- Deployment and Workflows.- Deployable Self-Contained Workflow Models.- Technology-Agnostic Declarative Deployment Automation of Cloud Applications.- Blockchain-Based Healthcare Workflows in Federated Hospital Clouds.- Monitoring.- Monitoring Behavioral Compliance with Architectural Patterns based on Complex Event Processing.- Towards Real-Time Monitoring of Data Centers using Edge Computing.- Modeling Users' Performance: Predictive Analytics in an IoT Cloud Monitoring System.- Data Distribution and Analytics.- Multi-Source Distributed System Data for AI-powered Analytics.- Blockchain- and IPFS-based Data Distribution for the Internet of Things.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the First International Conference on Society with Future: Smart and Liveable Cities, SC4Life 2019, which took place in Braga, Portugal, in December 2019. The 13 revised full papers were carefully reviewed and selected from 19 submissions. The conference has brought researchers, developers, and practitioners who are leveraging and develoing new knowledge on the topic of smart cities, offering more efficiency to main infrastructures, utilities and services, creating a sustainable urban environment that improves the quality of life for its citizens and enhances economic development.Table of ContentsSustainable road infrastructures using smart materials, NDT, and FEM-based crack prediction.- Quantifying the carbon dioxide emissions resulting from awareness-raising actions of sustainable mobility.- Leak Detection in Water Distribution Networks via Pressure Analysis using a Machine Learning Ensemble.- Solutions for Improving the Energy Efficiency of Buildings Refurbishment Image recognition to improve positioning in smart urban environments.- An Hybrid Novel Layered Architecture and Case Study : IoT for Smart Agriculture and Smart LiveStock.- Agrilogistics - A Genetic Programming Based Approach.- Real World Third-Person with Multiple Point-of-Views for Immersive Mixed Reality.- Internet of Things for Enhanced Smart Cities: A Review, Roadmap and Case Study on Air Quality Sensing.- Smart pedestrian network: an integrated conceptual model for improving walkability.- Building future societies? A brief analysis of Braga’s School Bus project.- City rankings and the citizens: exposing representational and participatory gaps.- Mobility time style: For an integrated view of time and mobilities in societies with a future.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pandemic.The 19 full papers presented together with 12 short and 2 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality; clustering; artificial intelligence and similarity; demo and position papers; and doctoral symposium.Table of ContentsScalable Similarity Search.- Accelerating Metric Filtering by Improving Bounds on Estimated Distances.- Differentially Private Sketches for Jaccard Similarity Estimation.- Pivot Selection for Narrow Sketches by Optimization Algorithms.- mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data.- Parallelizing Filter-Verification based Exact Set Similarity Joins on Multicores.- Similarity Search with Tensor Core Units.- On the Problem of p1 in Locality-Sensitive Hashing.- Similarity Measures, Search, and Indexing.- Confirmation Sampling for Exact Nearest Neighbor Search.- Optimal Metric Search Is Equivalent to the Minimum Dominating Set Problem.- Metrics and Ambits and Sprawls, Oh My: Another Tutorial on Metric Indexing.- Some branches may bear rotten fruits: Diversity browsing VP-Trees.- Continuous Similarity Search for Evolving Database.- Taking advantage of highly-correlated attributes in similarity queries with missing values.- Similarity Between Points in Metric Measure Spaces.- High-dimensional Data and Intrinsic Dimensionality.- GTT: Guiding the Tensor Train Decomposition.- Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data.- ABID: Angle Based Intrinsic Dimensionality.- Sampled Angles in High-Dimensional Spaces.- Local Intrinsic Dimensionality III: Density and Similarity.- Analysing Indexability of Intrinsically High-dimensional Data using TriGen.- Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension.- Clustering.- BETULA: Numerically Stable CF-Trees for BIRCH Clustering.- Using a Set of Triangle Inequalities to Accelerate K-means Clustering.- Angle-Based Clustering.- Artificial Intelligence and Similarity.- Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors.- SIR: Similar Image Retrieval for Product Search in E-Commerce.- Cross-Resolution deep features based Image Search.- Learning Distance Estimators from Pivoted Embeddings of Metric Objects.- Demo and Position Papers.- Visualizer of Dataset Similarity using Knowledge Graph.- vitrivr-explore: Guided Multimedia Collection Exploration for Ad-hoc Video Search.- Running experiments with confidence and sanity.- Doctoral Symposium.- Temporal Similarity of Trajectories in Graphs.- Relational Visual-Textual Information Retrieval.

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Book SynopsisThis open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation. Table of ContentsPart I: Ecosystem Elements of Big Data Value.- The European Big Data Value Ecosystem.- Stakeholder Analysis of Data Ecosystems.- A Roadmap to Drive Adoption of Data Ecosystems.- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.- Part II: Research and Innovation Elements of Big Data Value.- Technical Research Priorities for Big Data.- A Reference Model for Big Data Technologies.- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies.- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence.- Data Innovation Spaces.- Part III: Business, Policy, and Societal Elements of Big Data Value.- Big Data Value Creation by Example.- Business Models and Ecosystem for Big Data.- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework.- The Road to Big Data Standardisation.- The Role of Data Regulation in Shaping AI: An Overview of Challenges and Recommendations for SMEs.- Part IV: Emerging Elements of Big Data Value.- Data Economy 2.0: From Big Data Value to AI Value and a European Data Space.

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Book SynopsisThis book contains selected papers presented at the 15th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Maribor, Slovenia, in September 2020.*The 13 full papers included in this volume were carefully reviewed and selected from 21 submissions. Also included is a summary paper of a tutorial. As in previous years, one of the goals of the IFIP Summer School was to encourage the publication of thorough research papers by students and emerging scholars. The papers combine interdisciplinary approaches to bring together a host of perspectives, such as technical, legal, regulatory, socio-economic, social or societal, political, ethical, anthropological, philosophical, or psychological perspectives.*The summer school was held virtually.Table of ContentsTutorial Paper.- Don’t Tell Them now (or at all) – End User Notification Duties under GDPR and NIS Directive.- Selected Student Papers.- Ethical Principles for Designing Responsible Offensive Cyber Security Training.- Longitudinal collection and analysis of mobile phone data with local differential privacy.- Privacy-preserving IDS for In-Car-Networks with Local Differential Privacy.- Strong customer authentication in online payments under GDPR and PSD2: a case of cumulative application.- Privacy in Payment in the Age of Central Bank Digital Currency.- Analysing drivers’ preferences for privacy enhancing car-to-car communication systems.- Learning Analytics and Privacy - Respecting Privacy in Digital Learning Scenarios.- Preserving Privacy in Caller ID Applications.- “Identity management by design” with a technical Mediator under the GDPR.- Open about the open-rate? State of email tracking in marketing emails and its effects on user's privacy.- Privacy Respecting Data Sharing and Communication in mHealth: A Case Study.- Privacy-preserving Analytics for Data Markets using MPC.- Towards models for privacy preservation in the face of metadata exploitation.

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Book SynopsisThis textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge.The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics).This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.Table of Contents1. Introduction.- Part I: Star Schema.- 2. Simple Star Schemas.- 3. Creating Facts and Dimensions: More Complex Processes.- Part II: Snowflake and Bridge Tables.- 4. Hierarchies.- 5. Bridge Tables.- 6. Temporal Data Warehousing.- Part III: Advanced Dimension.- 7. Determinant Dimensions.- 8. Junk Dimensions.- 9. Dimension Keys.- 10. One-Attribute Dimensions.- Part IV: Multi-Fact and Multi-Input.- 11. Multi-Fact Star Schemas.- 12. Slicing a Fact.- 13. Multi-Input Operational Databases.- Part V: Data Warehousing Granularity and Evolution.- 14. Data Warehousing Granularity and Levels of Aggregation.- 15. Designing Lowest-Level Star Schemas.- 16. Levels of Aggregation: Adding and Removing Dimensions.- 17. Levels of Aggregation and Bridge Tables.- 18. Active Data Warehousing.- Part VI: OLAP, Business Intelligence, and Data Analytics.- 19. Online Analytical Processing (OLAP).- 20. Pre- and Post-Data Warehousing.- 21. Data Analytics for Data Warehousing.

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Book SynopsisText Mining with MATLAB® provides a comprehensive introduction to text mining using MATLAB. It is designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The book is structured in three main parts: The first part, Fundamentals, introduces basic procedures and methods for manipulating and operating with text within the MATLAB programming environment. The second part of the book, Mathematical Models, is devoted to motivating, introducing, and explaining the two main paradigms of mathematical models most commonly used for representing text data: the statistical and the geometrical approach. Eventually, the third part of the book, Techniques and Applications, addresses general problems in text mining and natural language processing applications such as document categorization, document search, content analysis, summarization, question answering, and conversational systems. This second edition includes updates in line with the recently released “Text Analytics Toolbox” within the MATLAB product and introduces three new chapters and six new sections in existing ones. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation. Table of Contents1. Introduction.- PART I: FUNDAMENTALS.- 2. Handling Text Data.- 3. Regular Expressions.- 4. Basic Operations with Strings.- 5. Reading and Writing Files.- 6. The Structure of Language.- PART II: MATHEMATICAL MODELS.- 7. Basic Corpus Statistics.- 8. Statistical Models.- 9. Geometrical Models.- 10. Dimensionality Reduction.- PART III: METHODS AND APPLICATIONS.- 11. Document Categorization.- 12. Document Search.- 13. Content Analysis.- 14. Keyword Extraction and Summarization.- 15. Question Answering and Dialogue.

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Book SynopsisThis book constitutes the refereed proceedings of the 27th China Conference on Information Retrieval, CCIR 2021, held in Dalian, China, in October 2021.The 15 full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections: search and recommendation, NLP for IR, IR in Education, and IR in Biomedicine.Table of ContentsSearch and Recommendation.- NLP for IR.- IR in Education.- IR in Biomedicine.

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Book SynopsisThis revised textbook presents updated material on its core content: an end-to-end IoT architecture that is comprised of devices, network, compute, storage, platform, applications along with management and security components. As with the second edition, it is organized into six main parts: an IoT reference model; fog computing and the drivers; IoT management and applications; smart services in IoT; IoT standards; and case studies. This edition’s features include overhaul of the IoT Protocols (Chapter 5) to include an expanded treatment of low-power wide area networks including narrow band IoT (NB-IoT) protocol, updated IoT platforms and capabilities (Chapter 7) to include comparison of commercially available platforms (e.g. AWS IoT Platform, Google Cloud IoT Platform, Microsoft Azure IoT Platform, and PTC ThinkWorx), updated security (Chapter 8) to include approaches for securing IoT devices with examples of IoT devices used in security attacks and associated solutions including MUD and DICE, and finally new Appendix B to include six IoT project detailed for students.Table of ContentsIntroduction.- Part I: IoT Overview and Architecture.- IoT Timeline.- IoT Reference Model.- Evolution of IoT Protocol Stack.- State of the Industry.- Part II: Fog Computing.- Why Fog.- Defining the Fog.- Data In Motion.- Part III: IoT Management and Applications.- IoT Management.- IoT Security.- IoT Traffic Engineering.- IoT Applications.- Part IV: IoT-Based Smart Services.- Smart Service Framework.- Creating Smart Services.- Service Creation, development and delivery.- Ecosystems Partners.- Services reference architecture.- Part V: IoT Standards.- OneM2M.- ATSI.- ETSI.- IEEE.- Part VI: Invited Chapters.- IoT Business Models.- Open Source Initiatives.- Data in Motion. The Blockchain in IoT.- Conclusion.

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Book SynopsisThis revised textbook presents updated material on its core content: an end-to-end IoT architecture that is comprised of devices, network, compute, storage, platform, applications along with management and security components. As with the second edition, it is organized into six main parts: an IoT reference model; fog computing and the drivers; IoT management and applications; smart services in IoT; IoT standards; and case studies. This edition’s features include overhaul of the IoT Protocols (Chapter 5) to include an expanded treatment of low-power wide area networks including narrow band IoT (NB-IoT) protocol, updated IoT platforms and capabilities (Chapter 7) to include comparison of commercially available platforms (e.g. AWS IoT Platform, Google Cloud IoT Platform, Microsoft Azure IoT Platform, and PTC ThinkWorx), updated security (Chapter 8) to include approaches for securing IoT devices with examples of IoT devices used in security attacks and associated solutions including MUD and DICE, and finally new Appendix B to include six IoT project detailed for students.Table of ContentsIntroduction.- Part I: IoT Overview and Architecture.- IoT Timeline.- IoT Reference Model.- Evolution of IoT Protocol Stack.- State of the Industry.- Part II: Fog Computing.- Why Fog.- Defining the Fog.- Data In Motion.- Part III: IoT Management and Applications.- IoT Management.- IoT Security.- IoT Traffic Engineering.- IoT Applications.- Part IV: IoT-Based Smart Services.- Smart Service Framework.- Creating Smart Services.- Service Creation, development and delivery.- Ecosystems Partners.- Services reference architecture.- Part V: IoT Standards.- OneM2M.- ATSI.- ETSI.- IEEE.- Part VI: Invited Chapters.- IoT Business Models.- Open Source Initiatives.- Data in Motion. The Blockchain in IoT.- Conclusion.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 7th EAI International Conference on Smart Objects and Technologies for social Good, GOODTECHS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 24 full papers presented were selected from 53 submissions and issue design, implementation, deployment, operation, and evaluation of smart objects and technologies for social good. Social goods are products and services provided through private enterprises, government, or non-profit institutions and are related to healthcare, safety, sports, environment, democracy, computer science, and human rights. The papers are arranged in tracks on machine learning; IoT; social considerations of technology; technology and ageing; healthcare.Table of ContentsLearning.- Balancing activity recognition and privacy preservation with a multi-objective evolutionary algorithm.- Biometric data capture as a way to identify lack f physical activity in daily life.- Comparative Analysis of Process Mining Algorithms in Python.- COVID-19 Next Day Trend ForecastAnomaly Detection in Cellular IoT with Machine Learning.- Internet of Things.- A Smart IoT System for Water Monitoring and Analysis.- Decentralising the Internet of Medical Things with Distributed Ledger Technologies and Off-Chain Storages: a Proof of Concept.- Towards a Monitoring Framework for Users of Retirement Houses with Mobile Sensing.- Temporal authorization graphs: Pros, Cons and Limits.- Advanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals.- Social considerations of technology.- GuideSwarm: A Drone Network Design to Assist Visually-impaired People.- LISA - Lingua Italiana dei Segni Accessibile: A Progressive Web App to Support Communication Between Deaf People and Public Administrations.- Building emotionally stable, inclusive, and healthy communities with ICT: from state of the art to PSsmile app.- issue design, implementation, deployment, operation, and evaluation of smart objects and technologies for social good. Social goods are products and services provided through private enterprises, government, or non-profit institutions and are related to healthcare, safety, sports, environment, democracy, computer science, and human rights. The papers are arranged in tracks on machine learning; IoT; social considerations of technology; technology and ageing; healthcare.- Machine Management Technology for Institutional Environment in Pandemic Times.- Technology and ageing.- Augmented Reality, Vrtual Reality and Mixed Reality as driver tools for promoting cognitive activity and avoid isolation in ageing population.- Ageing@home: A secure 5G welfare technology solution for elderlies.- Defining the instruments for zero-measurement of psychological well-being at older adults.- DERCA Tool: A set of Tests for Analysis of Elderly Dexterity in Information and Communications Technologies.- Building Inclusive Environments for All Ages with Citizens.- Healthcare.- The New Era of Technology applied to Cardiovascular Patients: State-of-the-art and Questionnaire applied for a System Proposal.- Co-design and engineering of user requirements for a novel ICT healthcare solution in Murcia, Spain.- What do nurses and carers in Portual wish and need from a digital intelligent assistant for nursing applications.- Examining Furniture Preferences of The Elderly in Greece.

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Book SynopsisThis SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years. This SpringerBrief offers a list of promising future research directions of performing CSS over large HINs.The authors first classify the existing works of CSS over HINs according to the classic cohesiveness metrics such as core, truss, clique, connectivity, density, etc., and then extensively review the specific models and their corresponding search solutions in each group. Note that since the bipartite network is a special case of HINs, all the models developed for general HINs can be directly applied to bipartite networks, but the models customized for bipartite networks may not be easily extended for other general HINs due to their restricted settings. The authors also analyze and compare these cohesive subgraph models (CSMs) and solutions systematically. Specifically, the authors compare different groups of CSMs and analyze both their similarities and differences, from multiple perspectives such as cohesiveness constraints, shared properties, and computational efficiency. Then, for the CSMs in each group, the authors further analyze and compare their model properties and high-level algorithm ideas.This SpringerBrief targets researchers, professors, engineers and graduate students, who are working in the areas of graph data management and graph mining. Undergraduate students who are majoring in computer science, databases, data and knowledge engineering, and data science will also want to read this SpringerBrief.Table of Contents1. Introduction2. Preliminaries3. CSS on Bipartite Networks4. CSS on Other General HINs5. Comparison Analysis6. Related Work on CSMs and solutions7. Future Work and Conclusion

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Book SynopsisChapters “No. 10 and No. 21” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsResearch.- Resources.- In-Use Track.

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Book SynopsisThis book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations, which is time-consuming and costly. In today’s information era, people are inundated with the vast amounts of text data. Despite their usefulness, people haven’t yet exploited the full power of taxonomies due to the heavy curation needed for creating and maintaining them. To bridge this gap, the authors discuss automated taxonomy discovery and exploration, with an emphasis on label-efficient machine learning methods and their real-world usages. Taxonomy organizes entities and concepts in a hierarchy way. It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains. When properly analyzed, these taxonomies can play a vital role for science, engineering, business intelligence, policy design, e-commerce, and more. Intuitive examples are used throughout enabling readers to grasp concepts more easily.Table of ContentsIntroduction.- Concept Set Expansion.- Taxonomy Construction.- Taxonomy Enrichment.- Taxonomy-Guided Classification.- Conclusions.

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Book SynopsisThis book constitutes the proceedings of the satellite events held at the 19th Extended Semantic Web Conference, ESWC 2022, during May—June in Hersonissos, Greece, 2022. The included satellite events are: the poster and demo session; the PhD symposium; industry track; project networking; workshops and tutorials. During ESWC 2022, the following ten workshops took place:10th Linked Data in Architecture and Construction Workshop (LDAC 2022); 5th International Workshop on Geospatial Linked Data (GeoLD 2022); 5th Workshop on Semantic Web solutions for large-scale biomedical data analytics (SeMWeBMeDA 2022); 7th Natural Language Interfaces for the Web of Data (NLIWOD+QALD 2022); International Workshop on Knowledge Graph Generation from Text (Text2KG 2022); 3rd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2022); 1st Workshop on Modular Knowledge (ModularK 2022); Third International Workshop On Knowledge Graph Construction (KGCW 2022); Third International Workshop On Semantic Digital Twins (SeDIT 2022); and the 1st International Workshop on Semantic Industrial Information Modelling (SemIIM 2022). Table of Contents Summary of Workshops and Tutorials at European Semantic Web Conference 2022.- Posters and Demos.- Towards UML-style Visual Queries over Wikidata.- Using the ODRL Profile for Access Control for Solid Pod Resource Governance.- Relation Canonicalization in Open Knowledge Graphs: A Quantitative Analysis.- Harmonizing and Using Numismatic Linked Data in Digital Humanities Research and Application Development: Case DigiNUMA.- Extending AgreementMakerLight to Perform Holistic Ontology Matching.- It’s all in the Name: Entity Typing using Multilingual Language Models.- The Supervised Semantic Similarity Toolkit.- Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings.- DataSpecer: A Model-Driven Approach to Managing Data Specifications.- Towards Query Processing over Heterogeneous Federations of RDF Data sources.- SAND: A Tool for Creating Semantic Descriptions of Tabular Sources.- BLAST: Block Applications for Things.- Leibniz Data Manager – A Research Data Management System.- Towards Knowledge Graph-Agnostic SPARQL Query Validation for Improving Question Answering.- Towards Generalized Welding Ontology in line with ISO and Knowledge Graph Construction.- O’FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository.- domOS Common Ontology: Web of Things Discovery in Smart Buildings.- WeaKG-MF: a Knowledge Graph of Observational Weather Data.- DAGOBAH UI: A New Hope For Semantic Table Interpretation.- KartoGraphI: Drawing a Map of Linked Data.- WikidataComplete – An easy-to-use method for rapid validation of text-extracted new facts applied to the Wikidata knowledge graph.- Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping.- Semantic Video Entity Linking.- Walk this Way! Entity Walks and Property Walks for RDF2vec.- Self-Verifying Web Resource Representations using Solid, RDF-star and Signed URIs.- From OWL to Graphol: importing ontologies into Eddy the editor.- Audio Ontologies for Intangible Cultural Heritage.- Ontology Matching Through Absolute Orientation of Embedding Spaces.- Semantic modeling and reconstruction of drones’ Trajectories.- How to Search and Contextualize Scenes inside Videos for Enriched Watching Experience: Case Stories of the Second World War Veterans.- PhD Symposium.- (Semi-) Automatic construction of knowledge graph Metadata.- Towards a Similarity Algorithm for Controlled Vocabularies within the Digital Humanities.- Causal Domain Adaptation for Information Extraction from Complex Conversations.- Knowledge Graph Population with Out-of-KG Entities.- Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions.- Leveraging Standards in Model-Centric Geospatial Knowledge Graph Creation.- Building Narrative Structures from Knowledge Graphs.- Using Referential Language Games for Task-oriented Ontology Alignment.- Balancing RDF generation from heterogeneous data sources.- Geological Information Capture with Sketches and Ontologies.- Industry.- The Data Value Quest: A Holistic Semantic Approach at Bosch.- Extracting Subontologies from SNOMED CT.- “Semantify” business and content to meet demands for expert solutions in professional markets.- Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case.- Semantic Data Integration for Monitoring Operators’ Ergonomics in an Automotive Manufacturing Setting.- Semantic Description of Equipment and its Controls in Building Automation Systems.

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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 open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.Table of Contents- 1. The Case for Quantification. - 2. Applications of Quantification. - 3. Evaluation of Quantification Algorithms. - 4. Methods for Learning to Quantify. - 5. Advanced Topics. - 6. The Quantification Landscape. - 7. The Road Ahead.

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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 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 SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9–11, 2023.The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining.Table of Contents​Keynotes.- From Intrinsic Dimensionality to Chaos and Control: Towards a Unified Theoretical View.- The Rise of HNSW: Understanding Key Factors Driving the Adoption.- Towards a Universal Similarity Function: the Information Contrast Model and its Application as Evaluation Metric in Artificial Intelligence Tasks.- Research Track.- Finding HSP Neighbors via an Exact, Hierarchical Approach.- Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash.- Mutual nearest neighbor graph for data analysis: Application to metric space clustering.- An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search.- Unbiased Similarity Estimators using Samples.- Retrieve-and-Rank End-to-End Summarization of Biomedical Studies.- Fine-grained Categorization of Mobile Applications through Semantic Similarity Techniques for Apps Classification.- Runs of Side-Sharing Tandems in Rectangular Arrays.- Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions.- Class Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification.- The Dataset-similarity-based Approach to Select Datasets for Evaluation in Similarity Retrieval.- Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback.- Accelerating k-Means Clustering with Cover Trees.- Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality.- Minwise-Independent Permutations with Insertion and Deletion of Features.- SDOclust: Clustering with Sparse Data Observers.- Solving k-Closest Pairs in High-Dimensional Data using Locality- Sensitive Hashing.- Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval.- Similarity Search with Multiple-Object Queries.- Diversity Similarity Join for Big Data.- Indexing Challenge.- Overview of the SISAP 2023 Indexing Challenge.- Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, And Batch Extraction.- General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo.- SISAP 2023 Indexing Challenge – Learned Metric Index.- Computational Enhancements of HNSW Targeted to Very Large Datasets.- CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors.

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Book Synopsis

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Book Synopsis1. Introduction.- 2. Regulatory Initiatives.- 3. Biases, Fairness, and Non-discrimination.- 4. Transparency.- 5. Privacy and Security.- 6. Conclusions and Open Challenges.

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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 SynopsisIn this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe.This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. Trade Review“The book provides rich information on the different processes involved in big data value chain and explains each process with case studies in diverse industrial sectors. … the book can help academic researchers, undergraduate students, and graduate students because it contains information about big data and its recent development and generates some research ideas. This book can also facilitate government officials and executives of different organizations to consider future roadmap by taking advantage of big data.” (Sunny Sun and Rob Law, Information Technology & Tourism, Vol. 17, 2017)Table of Contents

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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 book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 14th European Conference on the Semantic Web, ESWC 2017, held in Portoroz, Slovenia, in May/June2017.The volume contains 8 poster and 24 demonstration papers, selected from 105 submissions. Additionally, this book includes a selection of 13 best workshop papers. The papers cover various aspects of the semantic web.The chapter 'Scholia, Scientometrics and Wikidata' is available open access under a CC BY 4.0 license via link.springer.com.Table of ContentsQuerying the Web of Data.- Semantic Web Solutions for Large-Scale Biomedical Data Analytics.- Scientometrics.- RDF Stream Processing.- Emotions, Modality, Sentiment Analysis and the Semantic Web.- Applications of Semantic Web Technologies in Robotics.- Linked Data and Distributed Ledgers.- Linked Data Quality.- Semantic Deep Learning.- Humanities in the Semantic Web.

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Book SynopsisSocial information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web.The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information. Table of ContentsSocial Information Access: Definition and Classification.- Privacy in Social Information Access.- Social Q&A.- Collaborative Information Search.- Social Navigation.- Tag-Based Navigation and Visualization.- Social Search.- Network-Based Social Search.- Accessing Information with Tags: Search and Ranking.- Rating-Based Collaborative Filtering: Algorithms and Evaluation.- Recommendations Based on Social Links.- Tag-Based Recommendation.- From Opinions to Recommendations.- Recommending Based on Implicit Feedback.- People Recommendation on Social Media.- Location Recommendation with Social Media Data.

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Book SynopsisFormanyyearstheintersectionofcomputing anddataanalysiscontainedme- based statistics packages and not much else. Recently, statisticians have - braced computing, computer scientists have started using statistical theories and methods, and researchers in all corners have invented algorithms to nd structure in vast online datasets. Data analysts now have access to tools for exploratory data analysis, decision tree induction, causal induction, function - timation,constructingcustomizedreferencedistributions,andvisualization,and thereareintelligentassistantsto adviseonmatters ofdesignandanalysis.There aretoolsfortraditional,relativelysmallsamples,andalsoforenormousdatasets. In all, the scope for probing data in new and penetrating ways has never been so exciting. The IDA-99 conference brings together a wide variety of researchers c- cerned with extracting knowledge from data, including people from statistics, machine learning, neural networks, computer science, pattern recognition, da- base management, and other areas.The strategiesadopted by people from these areas are often di erent, and a synergy results if this is recognized. The IDA series of conferences is intended to stimulate interaction between these di erent areas,sothatmorepowerfultoolsemergeforextractingknowledgefromdataand a better understanding is developed of the process of intelligent data analysis. The result is a conference that has a clear focus (one application area:intelligent data analysis) and a broad scope (many di erent methods and techniques).Table of ContentsLearning.- From Theoretical Learnability to Statistical Measures of the Learnable.- ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis.- A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees.- Mining Clusters with Association Rules.- Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series.- The Biases of Decision Tree Pruning Strategies.- Feature Selection as Retrospective Pruning in Hierarchical Clustering.- Discriminative Power of Input Features in a Fuzzy Model.- Learning Elements of Representations for Redescribing Robot Experiences.- “Seeing“ Objects in Spatial Datasets.- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic.- Visualization.- Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings.- Knowledge-Based Visualization to Support Spatial Data Mining.- Probabilistic Topic Maps: Navigating through Large Text Collections.- 3D Grand Tour for Multidimensional Data and Clusters.- Classification and Clustering.- A Decision Tree Algorithm for Ordinal Classification.- Discovering Dynamics Using Bayesian Clustering.- Integrating Declarative Knowledge in Hierarchical Clustering Tasks.- Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization.- Supervised Classification Problems: How to Be Both Judge and Jury.- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification.- Exploiting Similarity for Supporting Data Analysis and Problem Solving.- Multiple Prototype Model for Fuzzy Clustering.- A Comparison of Genetic Programming Variants for Data Classification.- Fuzzy Clustering Based on Modified Distance Measures.- Building Classes in Object-Based Languages by Automatic Clustering.- Integration.- Adjusted Estimation for the Combination of Classifiers.- Data-Driven Theory Refinement Using KBDistAl.- Reasoning about Input-Output Modeling of Dynamical Systems.- Undoing Statistical Advice.- A Method for Temporal Knowledge Conversion.- Applications.- Intrusion Detection through Behavioral Data.- Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry.- Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees.- Pump Failure Detection Using Support Vector Data Descriptions.- Data Mining for the Detection of Turning Points in Financial Time Series.- Computer-Assisted Classification of Legal Abstracts.- Sequential Control Logic Inferring Method from Observed Plant I/O Data.- Evaluating an Eye Screening Test.- Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure.- Media Mining.- Exploiting Structural Information for Text Classification on the WWW.- Multi-agent Web Information Retrieval: Neural Network Based Approach.- Adaptive Information Filtering Algorithms.- A Conceptual Graph Approach for Video Data Representation and Retrieval.

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Book SynopsisDieses Buch stellt Methoden der Begrifflichen Wissensverarbeitung vor und präsentiert Anwendungen aus unterschiedlichen Praxisfeldern. Im Methodenteil wird in moderne Techniken der Begrifflichen Datenanalyse und Wissensverarbeitung eingeführt. Hierbei werden die mathematischen Grundlagen abgehandelt und durch zahlreiche Beispiele anschaulich gemacht. Der zweite Teil des Buches richtet sich verstärkt an potentielle Anwender. An ausgewählten Anwendungen wird die Vorgehensweise bei der Datenanalyse und dem Information Retrieval mit den Methoden der Begrifflichen Wissensverarbeitung vorgestellt und ihr Potential aufgezeigt.Table of ContentsI: Methoden der Begrifflichen Wissensverarbeitung.- Begriffe und Implikationen.- ConImp - Ein Programm zur Formalen Begriffsanalyse.- Ähnlichkeit als Distanz in Begriffsverbänden.- Datenanalyse mit Fuzzy-Begriffen.- Terminologische Merkmalslogik in der Formalen Begriffsanalyse.- II: Anwendungen der Begrifflichen Wissensverarbeitung.- Formale Begriffsanalyse im Software Engineering.- Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse.- Inhaltliche Erschließung des Bereichs 'Sozialorientierte Gestaltung von Informationstechnik' - Ein begriffsanalytischer Ansatz.- Wissensdarstellungen in Informationssystemen, Fragetypen und Anforderungen an Retrievalkomponenten.- Ein TOSCANA-Erkundungssystem zur Literatursuche.- Ein Erkundungssystem zum Baurecht: Methoden der Entwicklung eines TOSCANA-Systems.- Begriffliche Erkundung semantischer Strukturen von Sprechaktverben.- Grundwerte, Ziele und Maßnahmen in einem regionalen Krankenhaus - Eine Anwendung des Verfahrens GABEK.- Normen- und regelgeleitete internationale Kooperationen - Formale Begriffsanalyse in der Politikwissenschaft.- Entwicklung eines kontextuellen Methodenkonzeptes mit Hilfe der Formalen Begriffsanalyse an Beispielen zum Risikoverständnis.- Über Möglichkeiten der Formalen Begriffsanalyse in der Mathematischen Archäochemie.

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Book SynopsisThis book introduces a new approach to designing E-Librarian Services. With the help of this system, users will be able to retrieve multimedia resources from digital libraries more efficiently than they would by browsing through an index or by using a simple keyword search. E-Librarian Services combine recent advances in multimedia information retrieval with aspects of human-machine interfaces, such as the ability to ask questions in natural language; they simulate a human librarian by finding and delivering the most relevant documents that offer users potential answers to their queries. The premise is that more pertinent results can be retrieved if the search engine understands the meaning of the query; the returned results are therefore logical consequences of an inference rather than of keyword matches. Moreover, E-Librarian Services always provide users with a solution, even in situations where they are unable to offer a comprehensive answer.Trade ReviewFrom the reviews:“The subtitle gives a much better idea of what this book is really about. … it offers a demonstration of their applicability within a narrow computer science framework. … the primary audience is computer science researchers. … It is interesting as an illustration of where information retrieval is heading, an explanation of the relationship between the semantic web and natural language processing, and a glimpse of the potential power of these new ways of representing knowledge.” (Toby Burrows, Australian Library Journal, Vol. 61 (2), May, 2012)Table of ContentsPart I: Information Retrieval in Digital Libraries.- Introduction to Digital Libraries.- Search Engines.- Part II: Key Technologies of E-Librarian Services.- Semantic Web and Ontologies.- Description Logics and Reasoning.- Natural Language Processing.- Multimedia Information Retrieval.- Part III: Design and Utilization of E-Librarian Services.- Ontological Approach.- Design of the Natural Language Processing Module.- Designing the Multimedia Information Retrieval Module.- Implementation, Configuration, and Deployment.- Best Practices.- Part IV: Appendix.- A - XML SChema Primitive Datatypes.- B - Reasoning Algorithms.- C - Syntactic Difference.- D - Brown Tag Set.- E - Part-of-Speech-Taggers and Parsers.- References.

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Book SynopsisWith the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications.Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search.The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.Trade ReviewFrom the reviews:“The book covers not only a wide range, but everything that is essential to the topic of Web information retrieval. … this book is an excellent starting point into the field of Web information retrieval, and can be recommended for classroom use.” (Gottfried Vossen, zbMATH, Vol. 1283, 2014)“... this book is a valuable resource for students and instructors in web IR, primarily as a reference to supplement course teaching. Researchers and practitioners should find the book a useful quick reference guide for key concepts, techniques, and recent trends in web IR.” (Wingyan Chung, ACM Computing Reviews, July 2014)Table of ContentsPart I Principles of Information Retrieval.- An Introduction to Information Retrieval.- The Information Retrieval Process.- Information Retrieval Models.- Classification and Clustering.- Natural Language Processing for Search.- Part II Information Retrieval for the Web.- Search Engines.- Link Analysis.- Recommendation and Diversification for the Web.- Advertising in Search.- Part III Advanced Aspects of Web Search.- Publishing Data on the Web.- Meta-Search and Multi-Domain Search.- Semantic Search.- Multimedia Search.- Search Process and Interfaces.- Human Computation and Crowd Search.

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