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Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architecture and Semantic Web in detail. It has a robust empirical side which has an impact on industry.
Social Semantics: The Search for Meaning on the Web discusses how the largest problem facing the Semantic Web is the problem of identity and reference, and how these are the results of a larger general theory of meaning. This book hypothesizes that statistical semantics can solve these problems, illustrated by case studies ranging from a pioneering study of tagging systems to using the Semantic Web to boost the results of commercial search engines.
Social Semantics: The Search for Meaning on the Web targets practitioners working in the related fields of the semantic web, search engines, information retrieval, philosophers of language and more. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.
List of contents
Introduction.- Architecture of the World Wide Web.- The Semantic Web.- Theories of Semantics on the Web.- The Semantics of Tagging.- The Semantics of Search.- Social Semantics.
Summary
Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architecture and Semantic Web in detail. It has a robust empirical side which has an impact on industry.
Social Semantics: The Search for Meaning on the Web discusses how the largest problem facing the Semantic Web is the problem of identity and reference, and how these are the results of a larger general theory of meaning. This book hypothesizes that statistical semantics can solve these problems, illustrated by case studies ranging from a pioneering study of tagging systems to using the Semantic Web to boost the results of commercial search engines.
Social Semantics: The Search for Meaning on the Web targets practitioners working in the related fields of the semantic web, search engines, information retrieval, philosophers of language and more. Advanced-level students and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.
Additional text
From the book reviews:
“Web practitioners working with search engines … or simply curious fellows who are interested not only in a practical description of things, but also like to think out of the box, will find the book valuable. … definitely recommend this book to all of my doctoral students, as it stimulates deep thinking on the web qua web as a subject matter. It should be of particular interest also to students and researchers in the new field of web science.” (M. Bielikova, Computing Reviews, October, 2014)
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From the book reviews:
"Web practitioners working with search engines ... or simply curious fellows who are interested not only in a practical description of things, but also like to think out of the box, will find the book valuable. ... definitely recommend this book to all of my doctoral students, as it stimulates deep thinking on the web qua web as a subject matter. It should be of particular interest also to students and researchers in the new field of web science." (M. Bielikova, Computing Reviews, October, 2014)
