Scalable querying services over fuzzy ontologies

TLDR

Fuzzy ontologies are envisioned to be useful in the Semantic Web, yet existing fuzzy ontology reasoners lack the scalability needed for Web‑scale data. The paper proposes a framework of fuzzy query languages for fuzzy ontologies and presents query‑answering algorithms for these languages over fuzzy DL‑Lite ontologies. The authors implemented the approach in the fuzzy DL‑Lite query engine of the ONTOSEARCH2 system and report preliminary, encouraging benchmarking results. To the best of our knowledge, this is the first scalable query engine for fuzzy ontologies.

Abstract

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.