A major limitation of conventional web sites is their unorganized
and isolated contents, which is created mainly for human
consumption. This limitation can be addressed by organizing and
publishing data, using powerful formats that add structure and
meaning to the content of web pages and link related data to one
another. Computers can "understand" such data better, which can be
useful for task automation. The web sites that provide semantics
(meaning) to software agents form the Semantic Web, the Artificial
Intelligence extension of the World Wide Web. In contrast to the
conventional Web (the "Web of Documents"), the Semantic Web
includes the "Web of Data", which connects "things" (representing
real-world humans and objects) rather than documents meaningless to
computers. Mastering Structured Data on the Semantic Web explains
the practical aspects and the theory behind the Semantic Web and
how structured data, such as HTML5 Microdata and JSON-LD, can be
used to improve your site's performance on next-generation Search
Engine Result Pages and be displayed on Google Knowledge Panels.
You will learn how to represent arbitrary fields of human knowledge
in a machine-interpretable form using the Resource Description
Framework (RDF), the cornerstone of the Semantic Web. You will see
how to store and manipulate RDF data in purpose-built graph
databases such as triplestores and quadstores, that are exploited
in Internet marketing, social media, and data mining, in the form
of Big Data applications such as the Google Knowledge Graph,
Wikidata, or Facebook's Social Graph. With the constantly
increasing user expectations in web services and applications,
Semantic Web standards gain more popularity. This book will
familiarize you with the leading controlled vocabularies and
ontologies and explain how to represent your own concepts. After
learning the principles of Linked Data, the five-star deployment
scheme, and the Open Data concept, you will be able to create and
interlink five-star Linked Open Data, and merge your RDF graphs to
the LOD Cloud. The book also covers the most important tools for
generating, storing, extracting, and visualizing RDF data,
including, but not limited to, Protege, TopBraid Composer, Sindice,
Apache Marmotta, Callimachus, and Tabulator. You will learn to
implement Apache Jena and Sesame in popular IDEs such as Eclipse
and NetBeans, and use these APIs for rapid Semantic Web application
development. Mastering Structured Data on the Semantic Web
demonstrates how to represent and connect structured data to reach
a wider audience, encourage data reuse, and provide content that
can be automatically processed with full certainty. As a result,
your web contents will be integral parts of the next revolution of
the Web.
General
Imprint: |
Apress
|
Country of origin: |
United States |
Release date: |
July 2015 |
First published: |
2015 |
Authors: |
Leslie Sikos
|
Dimensions: |
254 x 178 x 15mm (L x W x T) |
Format: |
Paperback
|
Pages: |
256 |
Edition: |
1st ed. |
ISBN-13: |
978-1-4842-1050-5 |
Categories: |
Books >
Computing & IT >
Internet >
General
Promotions
|
LSN: |
1-4842-1050-6 |
Barcode: |
9781484210505 |
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