Handling imprecise knowledge with fuzzy description logic

Giorgos Stoilos*, Giorgos Stamou, Jeff Z. Pan

*Corresponding author for this work

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

Fuzzy Description Logics have been proposed in the literature as a way to represent and reason with vague and imprecise knowledge. Their decidability, the empirically tractable and efficient reasoning algorithms, that carry over to fuzzy Description Logics, have attracted the attention of many research communities and domains that deal with a wealth of imprecise knowledge and information. In the current paper we present the syntax and semantics of fuzzy SHOIQ, investigating several properties of the semantics of transitivity, qualified cardinality restrictions and reasoning capabilities.

Original languageEnglish
Pages (from-to)119-126
Number of pages8
JournalCEUR Workshop Proceedings
Volume189
Publication statusPublished - 1 Jan 2006
Event2006 International Workshop on Description Logics, DL 2006 - Windermere, Lake District, United Kingdom
Duration: 30 May 20061 Jun 2006

Fingerprint Dive into the research topics of 'Handling imprecise knowledge with fuzzy description logic'. Together they form a unique fingerprint.

  • Cite this

    Stoilos, G., Stamou, G., & Pan, J. Z. (2006). Handling imprecise knowledge with fuzzy description logic. CEUR Workshop Proceedings, 189, 119-126.