Description
Mastering Structured Data on the Semantic Web, 1st ed.
From HTML5 Microdata to Linked Open Data
Author: Sikos Leslie
Language: EnglishSubjects for Mastering Structured Data on the Semantic Web:
256 p. · 17.8x25.4 cm · Paperback
Description
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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, Protégé, 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.
1. Introduction to the Semantic Web
2. Knowledge Representation
3. Linked Open Data
4. Semantic Web Development Tools
5. Semantic Web Services
6. Graph Databases
7. Querying
8. Big Data Applications
9. Use Cases
Mastering Structured Data on the Semantic Web explains the practical aspects and the theory behind the semantic web and how structured data, such as Microformats, can be used to boost the efficiency of data processing and data transfer on your sites.