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• Perspective Paper.- Perspectives and Views of Flexible Query Answering.- Model-Based Flexible Query Answering Approaches.- Analogical Querying?.- Flexible Querying Using Disjunctive Concepts.- Analytical Queries on Vanilla RDF Graphs with a Guided Query Builder Approach.- Realization of a Natural Logic in a Database System.- Generalized Weighted Repairs.- Dealing with Data Veracity in Multiple Criteria Handling: An LSP-based approach.- On Controlling Skyline Query Results: What Does Soft Computing Bring?.- Management of Complex and Fuzzy Queries Using a Fuzzy SOLAP-Based Framework.- Data Quality Management: an Overview of Methods and Challenges.- J-CO, a Framework for Fuzzy Querying Collections of JSON Documents.- Data-Driven Approaches.- Detecting ESG Topics Using Domain-Specific Language Models and Data Augmentation.- A Novel Approach for Supporting Italian Satire Detection Through Deep Learning.- DocTalk: Combining Dependency-Based Text Graphs and Deep Learning into a Practical Dialog Engine.- A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter.- Aggregation for Flexible Challenge Response.- The Impact of User Demographics and Task Types on Cross-App Mobile Search.
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This book constitutes the refereed proceedings of the 14th International Conference on Flexible Query Answering Systems, FQAS 2021, held virtually and in Bratislava, Slovakia, in September 2021.The 16 full papers and 1 perspective papers presented were carefully reviewed and selected from 17 submissions. They are organized in the following topical sections: model-based flexible query answering approaches and data-driven approaches.
(source: Nielsen Book Data)

• Intro; Preface; Organization; Contents; Invited Talks; Logic, Machine Learning, and Security; 1 Introduction; 2 Logic for Counter-Terrorism; 3 Logic for Explaining Forecasts Generated by Machine Learning Classifiers; 4 Logic for Deceiving Cyber-Adversaries; 5 Conclusion; References; Personal Big Data, GDPR and Anonymization; References; Tutorials; Tutorial: Supervised Learning for Prevalence Estimation; 1 Motivation; 2 Format and Detailed Schedule; References; Algorithmic Approaches to Computational Models of Argumentation; 1 Introduction; 2 Algorithms for Abstract Argumentation

• 3 Algorithms for Structured ArgumentationReferences; Introduction; Flexible Querying and Analytics for Smart Cities and Smart Societies in the Age of Big Data: Overview of the FQAS 2019 International Conference; Abstract; 1 Introduction; 2 Flexible Querying and Analytics for Smart Cities and Smart Societies in the Age of Big Data: Issues and Challenges; 3 13th International Conference on Flexible Query Answering Systems (FQAS 2019): Overview; 4 Conclusions; References; Flexible Database Management and Querying; Indexing for Skyline Computation; 1 Introduction; 2 Preliminaries; 3 Algorithms

• 3.1 BBS3.2 ZSky; 3.3 SkyMap; 3.4 BNL; 4 Experiments; 4.1 Effect of Data Dimensionality; 4.2 Effect of Data Cardinality; 4.3 Effect of Domain Size; 4.4 Real Data; 5 Summary and Conclusion; References; A Simple Data Structure for Optimal Two-Sided 2D Orthogonal Range Queries; 1 Introduction and Preliminaries; 2 The Data Structure; 3 Constant-Delay Enumeration; 4 Discussion; References; Optimizing the Computation of Approximate Certain Query Answers over Incomplete Databases; 1 Introduction; 2 Background; 3 Experimental Evaluation of Approximation Algorithms; 4 Novel Approach

• 5 Experimental Evaluation of Lazy+6 Conclusion; References; Ontologies and Knowledge Bases; Leveraging Ontology to Enable Indoor Comfort Customization in the Smart Home; Abstract; 1 Introduction; 2 Related Work; 3 The FHfFC Smart Home Architecture; 3.1 The Physical Layer; 3.2 HIC: The Home Interface Controller; 3.3 Knowledge Base and Semantic Repository; 4 Use Cases Scenarios; 4.1 Tailoring Indoor Temperature and Humidity Rate; 4.2 Setting Illuminance According to the Activity; 5 Conclusion and Future Works; Acknowledgment; References

• Efficient Ontological Query Answering by Rewriting into Graph Queries1 Introduction; 2 Preliminaries; 3 A Rewritable Ontology Language; 4 Rewriting; 5 Conclusions; References; WeLink: A Named Entity Disambiguation Approach for a QAS over Knowledge Bases; 1 Introduction; 2 Related Works; 3 The WeLink Approach; 3.1 Input Pre-processing; 3.2 Candidate Generation; 3.3 Candidate Disambiguation; 4 Experiments and Results; 4.1 Dataset; 4.2 Metrics; 4.3 Results; 4.4 Discussion; 5 Conclusion; References; Argumentation-Based Query Answering

This book constitutes the refereed proceedings of the 13th International Conference on Flexible Query Answering Systems, FQAS 2019, held in Amantea, Italy, in July 2019. The 27 full papers and 10 short papers presented were carefully reviewed and selected from 43 submissions. The papers present emerging research trends with a special focus on flexible querying and analytics for smart cities and smart societies in the age of big data. They are organized in the following topical sections: flexible database management and querying; ontologies and knowledge bases; social networks and social media; argumentation-based query answering; data mining and knowledge discovery; advanced flexible query answering methodologies and techniques; flexible query answering methods and techniques; flexible intelligent information-oriented and network-oriented approaches; big data veracity and soft computing; flexibility in tools; and systems and miscellanea.

• Part I. Preferences, Desires, Perception of Time, and Logical Foundations.- Part II. Aspects of Data Representation, Processing and Mining.- Part III: Aspects and Extensions of flexible Querying and Summarization.- Part IV: Querying Temporal, Spatial and Multimedia Databases.- Part V: Knowledge-based Approaches.
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This volume contains the papers presented at the Eleventh Flexible Query Answering Systems 2015 (FQAS-2015) held on October 26-28, 2015 in Cracow, Poland. The international conferences on Flexible Query Answering Systems (FQAS) are a series of premier conferences focusing on the key issue in the information society of providing easy, flexible, and intuitive access to information and knowledge to everybody, even people with a very limited computer literacy. In targeting this issue, the Conference draws on several research areas, such as information retrieval, database management, information filtering, knowledge representation, soft computing, management of multimedia information, and human-computer interaction. The Conference provides a unique opportunity for researchers, developers and practitioners to explore new ideas and approaches in a multidisciplinary forum.
(source: Nielsen Book Data)

• Preface Acknowledgments Introduction Setup Getting Started with Simple Questions Complex Question Answering Conversational Question Answering Part I: Summary and Insights Setup Reading Comprehension Open-Domain Question Answering Multi-Hop Question Answering Conversational Question Answering Part II: Summary and Insights Open Directions References Authors' Biographies.
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Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents. QA, posing a multitude of research challenges, has emerged as one of the most actively investigated topics in information retrieval, natural language processing, and the artificial intelligence communities today. The flip side of such diverse and active interest is that publications are highly fragmented across several venues in the above communities, making it very difficult for new entrants to the field to get a good overview of the topic. Through this book, we make an attempt towards mitigating the above problem by providing an overview of the state-of-the-art in question answering. We cover the twin paradigms of curated Web sources used in QA tasks - trusted text collections like Wikipedia, and objective information distilled into large-scale knowledge bases. We discuss distinct methodologies that have been applied to solve the QA problem in both these paradigms, using instantiations of recent systems for illustration. We begin with an overview of the problem setup and evaluation, cover notable sub-topics like open-domain, multi-hop, and conversational QA in depth, and conclude with key insights and emerging topics. We believe that this resource is a valuable contribution towards a unified view on QA, helping graduate students and researchers planning to work on this topic in the near future.
(source: Nielsen Book Data)

• Database Models and Query Languages.- Flexible Query Languages for Relational Databases: An Overview.- Vacuity-Oriented Generalized Yes/No Queries Addressed to Possibilistic Databases.- On the Applicability of Extended Possibilistic Truth Values in Flexible Database Modelling and Querying.- Preference based Quality Assessment and Presentation of Query Results.- Modeling Fuzzy Information in the EER and Nested Relational Database Models.- Database Integration.- Querying Contradictory Databases by Taking into Account Their Reliability and Their Number.- Database Integrations in Distributed Enterprise Information Systems: A Database Model with Imprecise Information and Query Processing.- Integrating Data Doubtfully.- Semistructured Data Management.- An Overview of Imperfection Representation in Semistructured Data.- A Synopsis based Approach for XML Fast Approximate Querying.- Spatial Databases.- Maximum Entropy Inference for Geographical Information Systems.- Storage and Manipulation of Vague Spatial Objects Using Existing GIS Functionality.- Spatial SQL with Customizable Soft Selection Conditions.
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This volume offers the advice of selected expert contributors on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date information on "database models to represent imperfect data". Further, it includes specific contributions on uncertainty management in database integration, and in representing and querying semistructured and spatial data.
(source: Nielsen Book Data)

"The world's available scientific and factual data is growing at an alarming pace, but how do we use all this information? How do we incorporate it into our decision making process? Joshua Martell will give an inside look into how WolframAlpha works, what it takes to make data "computable", understand user input, and present meaningful results."--Resource description page.

• Introduction The Query Process and Barriers to Finding Information Online Online Search: An Evolution Search and Discovery Technologies: An Overview Information Access: A Spectrum of Needs and Uses Future Tense: The Next Era in Information Access and Discovery Answer Machines.
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The Answer Machine is a practical, non-technical guide to the technologies behind information seeking and analysis. It introduces search and content analytics to software buyers, knowledge managers, and searchers who want to understand and design effective online environments. The book describes how search evolved from an expert-only to an end user tool. It provides an overview of search engines, categorization and clustering, natural language processing, content analytics, and visualization technologies. Detailed profiles for Web search, eCommerce search, eDiscovery, and enterprise search contrast the types of users, uses, tasks, technologies, and interaction designs for each. These variables shape each application, although the underlying technologies are the same. Types of information tasks and the trade-offs between precision and recall, time, volume and precision, and privacy vs. personalization are discussed within this context. The book examines trends toward convenient, context-aware computing, big data and analytics technologies, conversational systems, and answer machines. The Answer Machine explores IBM Watson's DeepQA technology and describes how it is used to answer health care and Jeopardy questions. The book concludes by discussing the implications of these advances: how they will change the way we run our businesses, practice medicine, govern, or conduct our lives in the digital age.
(source: Nielsen Book Data)