f-SWRL: A Fuzzy Extension of SWRL

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

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

Although the combination of OWL and Horn rules results in the creation of a highly expressive language, i.e. SWRL, there are still many occasions where this language fails to accurately represent knowledge of our world. In particular, SWRL fails at representing vague and imprecise knowledge and information. Such type of information is apparent in many applications like multimedia processing and retrieval, information fusion, etc. In this paper, we propose f-SWRL, a fuzzy extension to SWRL to include fuzzy assertions (such as `Mary is tall in the degree of 0.9') and fuzzy rules (such as `being healthy is more important than being rich to determine if one is happy').
Original languageEnglish
Title of host publicationJournal on Data Semantics VI
EditorsStefano Spaccapietra, Karl Aberer, Philippe Cudré-Mauroux
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Number of pages19
ISBN (Electronic)978-3-540-36871-7
ISBN (Print)978-3-540-36712-3
Publication statusPublished - 25 Aug 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin, Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


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