Scalable querying services over fuzzy ontologies

J.Z. Pan, G. Stamou, G. Stoilos, Stuart Rae Taylor, E. Thomas

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

67 Citations (Scopus)


Fuzzy ontologies are envisioned to be useful in the Semantic Web. Existing fuzzy ontology reasoners are not scalable enough to handle the scale of data that the Web provides. In this paper, we propose a framework of fuzzy query languages for fuzzy ontologies, and present query answering algorithms for these query languages over fuzzy DL-Lite ontologies. Moreover, this paper reports on implementation of our approach in the fuzzy DL-Lite query engine in the ONTOSEARCH2 system and preliminary, but encouraging, benchmarking results. To the best of our knowledge, this is the first ever scalable query engine for fuzzy ontologies.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on World Wide Web
Subtitle of host publicationApril 21-25, 2008, Beijing, China
Place of PublicationNew York
PublisherACM Press
Number of pages10
ISBN (Print)9781605580852
Publication statusPublished - 1 Jan 2008
Event17th international conference on World Wide Web - Beijing, China
Duration: 21 Apr 200825 Apr 2008


Conference17th international conference on World Wide Web


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