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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