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Social Semantics

The Search for Meaning on the Web

  • Book
  • © 2013

Overview

  • Presents case studies and experiments including the pioneering study of tagging systems
  • Covers performance of commercial search engines
  • Illustrates that the substance matter of this book has a robustly empirical side with an impact on industry
  • Includes supplementary material: sn.pub/extras

Part of the book series: Semantic Web and Beyond (ADSW, volume 13)

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About this book

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.

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Keywords

Table of contents (7 chapters)

Reviews

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)

Authors and Affiliations

  • Massachusetts Institute of Technology, Computer Science and Artificial Intellig Massachusetts Institute of Technology, Cambridge, USA

    Harry Halpin

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