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Linked Data, Semantics, Computational Semantics, Semantic Web, and Web 3.0
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  • Linked Data: A Geographic Perspective (Glen Hart, et al)

    Combine Geographic Information from Multiple Sources Using Linked Data - A Practical, Readable Guide for Geographers, Software Engineers, and Laypersons. Organize and describe data that includes geographic content and publish it as Linked Data.

  • Linked Data: Evolving the Web into a Global Data Space

    This book provides readers with a detailed technical introduction to Linked Data. It begins by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture.

  • Vector Semantics (AndrĂ¡s Kornai)

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures.

  • Semantics with Applications: A Formal Introduction

    This book provides a needed introductory presentation of the fundamental ideas behind Semantics, stresses their relationship by formulating and proving the relevant theorems, and illustrates the applications of semantics in computer science.

  • Mathematical Aspects of Logic Programming Semantics

    This book discusses applications of Logic Programming to computational logic and potential applications to the integration of models of computation, knowledge representation and reasoning, and the Semantic Web.

  • Concrete Semantics: With Isabelle/HOL (Tobias Nipkow, et al.)

    The book teaches the reader the art of precise logical reasoning and the practical use of a proof assistant as a surgical tool for formal proofs about computer science artefacts. It represents a formal approach to computer science, not just Semantics.

  • Semantics in Action - Applications and Scenarios

    This book is a nice blend of number of great ideas, theories, mathematical models, and practical systems in the domain of Semantics. It highlights highlights the state-of-the-art application areas in the domain of Semantics.

  • Semantics - Advances in Theories and Mathematical Models

    This book is a nice blend of number of great ideas, theories, mathematical models, and practical systems in the domain of Semantics. It highlights the advances in theories and mathematical models in the domain of Semantics.

  • Syntactic Theory: A Formal Introduction (Ivan A. Sag, et al)

    This is a textbook that makes it truly fun to teach introductory syntax. It is thoroghly data-driven and teaches the student to pay attention to empirical details and to find linguistic patterns and explanations for them.

  • Data, Syntax and Semantics (J. V. Tucker, et al.)

    This book is an introduction to the mathematical theory of programming languages. It is in tended to provide a first course, one that is suitable for all university students of Computer Science to take early in their education.

  • Foundations of Fuzzy Logic and Semantic Web Languages

    This book provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic Web languages. The book focuses on the three main streams of Semantic Web languages.

  • Practical Semantic Web and Linked Data Applications

    This book is intended to be a practical guide for using RDF data in information processing, linked data, and semantic web applications using both the AllegroGraph product and the Sesame open source project.

  • A Semantic Web Primer (Grigoris Antoniou, et al.)

    Provides a systematic treatment of the different languages (XML, RDF, OWL, and rules) and technologies (explicit metadata, ontologies, and logic and inference) that are central to Semantic Web development as well as such crucial related topics.

  • An Introduction to Ontology Engineering (Maria Keet)

    This has as main aim to provide the reader with a comprehensive introductory overview of Ontology Engineering. A secondary aim is to provide hands-on experience in ontology development that illustrate the theory.

  • Web Data Management (Serge Abiteboul, et al)

    This book explains Web standards for data management, with a focus on data distribution, providing a foundation for today's data integration applications and tomorrow's semantic Web. Striking a balance between the conceptual and the practical.

  • Semantic Web (Gang Wu)

    Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and services that are available on the Internet.

  • Ontologies on the Semantic Web (Catherine Legg)

    This book is for who are interested in exploring the technology of Semantic web. It simplifies the tough concepts associated with Semantic web and hence it can be considered as the base to build the knowledge about Web 3.0.

  • Web Intelligence and Intelligent Agents (Z. Usmani)

    The book presents the innovative research on the theory and applications of the use of intelligent agents in the evolution of Web. It also provides reviews of the related cutting-edge technologies and insights.

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