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Scalable querying services over fuzzy ontologies

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Scalable querying services over fuzzy ontologies
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. Categories and Subject Descriptors I.2.3 [Deduction and Theorem Proving]: Uncertainty, "fuzzy", and probabilistic reasoning; I.2.4 [Knowledge Representation Formalisms and Methods]: Representation Languages General Terms Language, Algorithm, Experimentation Keywords Semantic Web, Lightweight Ontology Language, Fuzzy Ontology, Scalable Query Answering, Fuz...
Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, S
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, Stuart Taylor, Edward Thomas
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