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Refereed Papers

Track: Semantic Web I

Paper Title:
Scalable Querying Services over Fuzzy Ontologies


Fuzzy ontologies are envisioned to be useful in the Seman- tic 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 lan- guages for fuzzy ontologies, and present query answering algorithms for these query languages over fuzzy DL-Lite on- tologies. 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.

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