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.
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