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The web of data

Hogan, Aidan.

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The web of data

Record Type:	Electronic resources : Monograph/item
Title/Author:	The web of data/ by Aidan Hogan.
Author:	Hogan, Aidan.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xvii, 680 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Web of Data -- 3. Resource Description Framework -- 4. RDF Schema and Semantics -- 5. Web Ontology Language -- 6. SPARQL Query Language -- 7. Shape Constraints and Expressions -- 8. Linked Data -- 9. Conclusions.
Contained By:	Springer Nature eBook
Subject:	Semantic Web. -
Online resource:	https://doi.org/10.1007/978-3-030-51580-5
ISBN:	9783030515805

The web of data
Hogan, Aidan.

The web of data[electronic resource] /by Aidan Hogan. - Cham :Springer International Publishing :2020. - xvii, 680 p. :ill., digital ;24 cm.

1. Introduction -- 2. Web of Data -- 3. Resource Description Framework -- 4. RDF Schema and Semantics -- 5. Web Ontology Language -- 6. SPARQL Query Language -- 7. Shape Constraints and Expressions -- 8. Linked Data -- 9. Conclusions.

This book concisely brings together the key standards and best practices relating to modelling, querying, validating and linking machine-readable data and semantics on the Web. Alongside practical examples and formal definitions, the book shows how these standards contribute to - and have been used thus far on - the "Web of Data": a machine readable evolution of the Web marked by increased automation, enabling powerful Web applications capable of discovering, cross-referencing, and organising data from numerous websites in a matter of seconds. The book is divided into nine chapters, the first of which highlights the fundamental shortcomings of the current Web that illustrate the need for increased machine readability. The next chapter outlines the core concepts of the "Web of Data", discussing use-cases on the Web where they have already been deployed. "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 RDF graphs. In turn, the chapter "Web Ontology Language (OWL)" elaborates on a much more expressive ontology language built upon RDFS. In "SPARQL Query Language" a language for querying and updating RDF graphs is described. "Shape Constraints and Expressions (SHACL/ShEx)" introduces two languages for describing the expected structure of - and expressing constraints over - RDF graphs for the purposes of validation. "Linked Data" discusses the principles and best practices by which interlinked (RDF) data can be published on the Web, and how they have been adopted. The final chapter highlights open problems and concludes with a 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, interactive examples, and a section for comments and questions.

ISBN: 9783030515805

Standard No.: 10.1007/978-3-030-51580-5doiSubjects--Topical Terms:

572918
Semantic Web.

LC Class. No.: TK5105.88815 / .H64 2020

Dewey Class. No.: 025.0427

The web of data
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100 1 $a Hogan, Aidan. $3 3503603
245 1 4 $a The web of data $h [electronic resource] / $c by Aidan Hogan.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 680 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction -- 2. Web of Data -- 3. Resource Description Framework -- 4. RDF Schema and Semantics -- 5. Web Ontology Language -- 6. SPARQL Query Language -- 7. Shape Constraints and Expressions -- 8. Linked Data -- 9. Conclusions.
520 $a This book concisely brings together the key standards and best practices relating to modelling, querying, validating and linking machine-readable data and semantics on the Web. Alongside practical examples and formal definitions, the book shows how these standards contribute to - and have been used thus far on - the "Web of Data": a machine readable evolution of the Web marked by increased automation, enabling powerful Web applications capable of discovering, cross-referencing, and organising data from numerous websites in a matter of seconds. The book is divided into nine chapters, the first of which highlights the fundamental shortcomings of the current Web that illustrate the need for increased machine readability. The next chapter outlines the core concepts of the "Web of Data", discussing use-cases on the Web where they have already been deployed. "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 RDF graphs. In turn, the chapter "Web Ontology Language (OWL)" elaborates on a much more expressive ontology language built upon RDFS. In "SPARQL Query Language" a language for querying and updating RDF graphs is described. "Shape Constraints and Expressions (SHACL/ShEx)" introduces two languages for describing the expected structure of - and expressing constraints over - RDF graphs for the purposes of validation. "Linked Data" discusses the principles and best practices by which interlinked (RDF) data can be published on the Web, and how they have been adopted. The final chapter highlights open problems and concludes with a 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, interactive examples, and a section for comments and questions.
650 0 $a Semantic Web. $3 572918
650 0 $a Metadata. $3 590006
650 1 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Information Storage and Retrieval. $3 761906
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-51580-5
950 $a Computer Science (SpringerNature-11645)