Fuzzy OWL: Uncertainty and the Semantic Web

Giorgos Stoilos, Giorgos Stamou, Vassilis Tzouvaras, Jeff Z Pan, Ian Horrocks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In the Semantic Web context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees of relatedness, similarity, or ranking. Apart from the wealth of applications that are inherently imprecise, information itself is many times imprecise or vague. For example, the concepts of a “hot” place, an “expensive” item, a “fast” car, a “near” city, are examples of such concepts. Dealing with such type of information would yield more realistic, intelligent and effective applications. In the current paper we extend the OWL web ontology language, with fuzzy set theory, in order to be able to capture, represent and reason with such type of information.
Original languageEnglish
Title of host publicationProceedings of the OWLED*05 Workshop on OWL: Experiences and Directions
EditorsBernardo Cuenca Grau, Ian Horrocks, Bijan Parsia, Peter Patel-Schneider
Number of pages10
Publication statusPublished - 1 Jun 2006
EventOWLED 05 Workshop on OWL: Experiences and Directions - Galway, Ireland
Duration: 11 Nov 200512 Nov 2005
Conference number: 1

Publication series

NameCEUR Workshop Proceedings
ISSN (Electronic)1613-0073


WorkshopOWLED 05 Workshop on OWL: Experiences and Directions
Abbreviated titleOWLED 2005
Internet address


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