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The Web of Data

Authors: Hogan, Aidan

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  • Concisely puts techniques related to the Semantic Web, Knowledge Graphs, Linked Data, Graph Databases, Ontologies, etc. into perspective
  • Provides examples of their use, and discusses how they contribute to, and how they have been used thus far on, the Web of Data
  • Offers comprehensive, up-to-date details on key standards (RDF, RDFS, OWL, SPARQL, SHACL, ShEx, RDB2RDF, LDP), along with formal definitions and references to further literature
  • Complemented by a website that offers solutions to the exercises, slides for classes, raw data for examples, and a separate section for comments and questions
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About this Textbook

This book’s main goals are to bring together in a concise way all the methodologies, standards and recommendations related to Data, Queries, Links, Semantics, Validation and other issues concerning machine-readable data on the Web, to describe them in detail, to provide examples of their use, and to discuss how they contribute to – and how they have been used thus far on – the “Web of Data”. As the content of the Web becomes increasingly machine readable, increasingly complex tasks can be automated, yielding more and more powerful Web applications that are capable of discovering, cross-referencing, filtering, and organizing data from numerous websites in a matter of seconds.

The book is divided into nine chapters, the first of which introduces the topic by discussing the shortcomings of the current Web and illustrating the need for a Web of Data. Next, “Web of Data” provides an overview of the fundamental concepts involved, and discusses some current use-cases on the Web where such concepts are already being employed. “Resource Description Framework (RDF)” describes the graph-structured data model proposed by the Semantic Web community as a common data model for the Web. The chapter on “RDF Schema (RDFS) and Semantics” presents a lightweight ontology language used to define an initial semantics for terms used in RDF graphs. In turn, the chapter “Web Ontology Language (OWL)” elaborates on a more expressive ontology language built upon RDFS that offers much more powerful ontological features. In “SPARQL Query Language” a language for querying and updating RDF graphs is described, with examples of the features it supports, supplemented by a detailed definition of its semantics. “Shape Constraints and Expressions (SHACL/ShEx)” introduces two languages for describing the expected structure of – and expressing constraints on – RDF graphs for the purposes of validation. “Linked Data” discusses the principles and best practices proposed by the Linked Data community for publishing interlinked (RDF) data on the Web, and how these techniques have been adopted. The final chapter highlights open problems and rounds out the coverage with a more general discussion on the future of the Web of Data.

The book is intended for students, researchers and advanced practitioners interested in learning more about the Web of Data, and about closely related topics such as the Semantic Web, Knowledge Graphs, Linked Data, Graph Databases, Ontologies, etc. Offering a range of accessible examples and exercises, it can be used as a textbook for students and other newcomers to the field. It can also serve as a reference handbook for researchers and developers, as it offers up-to-date details on key standards (RDF, RDFS, OWL, SPARQL, SHACL, ShEx, RDB2RDF, LDP), along with formal definitions and references to further literature. The associated website webofdatabook.org offers a wealth of complementary material, including solutions to the exercises, slides for classes, raw data for examples, and a section for comments and questions.

      

About the authors

Aidan Hogan is an Associate Professor at the Department of Computer Science (DCC), Universidad de Chile, and an Associate Researcher at the Millennium Institute for Foundational Research on Data. Prior to these appointments, he worked at the Digital Enterprise Research Institute (DERI) (now called INSIGHT), based at the National University of Ireland, Galway. His general research interest is in exploring whether or not the Semantic Web and Linked Data are good candidates for structuring the content of the Web.
               

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-030-51580-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA in USD
  • ISBN 978-3-030-51579-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
The Web of Data
Authors
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-51580-5
DOI
10.1007/978-3-030-51580-5
Hardcover ISBN
978-3-030-51579-9
Edition Number
1
Number of Pages
XVII, 680
Number of Illustrations
50 b/w illustrations, 21 illustrations in colour
Topics

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