Fuzzy Logic and the Semantic Web

Research output: Book / ReportBookAcademicpeer-review

Abstract

The publication Capturing Intelligence, Volume 1, focuses on research from all disciplines related to the issue of understanding and reproducing intelligent artificial systems. The volume presents a classical, rich and well-established area—namely the representation of fuzzy, noncrisp concepts, with a new and highly exciting challenge—namely the vision of the Semantic Web. The insight that any realistic approach to the Semantic Web will have to take into account the lessons from fuzzy logic approaches is gaining ground in a wide community. Higher precision of search engines, searching with semantic instead of syntactic queries, information integration among different web-resources, personalization, and semantic web services, are all part of the promises of this vision. The publication discusses a number of ways in which current Semantic Web technology can be “fuzzified,” and a number of ways in which such fuzzy representations can be used for tasks, such as search and information retrieval.
Original languageEnglish
PublisherElsevier
Volume1
ISBN (Print)9780444519481
DOIs
Publication statusPublished - 2006

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