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Mastering Structured Data on the Semantic Web : From HTML5 Microdata to Linked Open Data by Leslie Sikos [Sikos, Leslie] is a nonfiction available to read on EtoBox.

What is Mastering Structured Data on the Semantic Web : From HTML5 Microdata to Linked Open Data about?

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

Who reads Mastering Structured Data on the Semantic Web : From HTML5 Microdata to Linked Open Data?

Author

Leslie Sikos [Sikos, Leslie]

Publisher

IRL Press at Oxford University Press

Published

2015

Language

EN

ISBN

9780191501876

Category

nonfiction

Subjects

Technology, Philosophy, Management