Refereed Papers
Track: Semantic Web I
Paper Title:
Scalable Querying Services over Fuzzy Ontologies
Authors:
- Jeff Z. Pan(University of Aberdeen)
- Giorgos Stamou(NTUA)
- Giorgos Stoilos(NTUA)
- Stuart Taylor(University of Aberdeen)
- Edward Thomas(University of Aberdeen)
Abstract:
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 ¯rst ever scalable query engine for fuzzy ontologies.
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