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Employing \(DL\text {-}Lite_{R}\)-Reasoners for Fuzzy Query Answering

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Semantic Technology (JIST 2014)

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Abstract

Fuzzy Description Logics generalize crisp ones by providing membership degree semantics for concepts and roles by fuzzy sets. Recently, answering of conjunctive queries has been investigated and implemented in optimized reasoner systems based on the rewriting approach for crisp DLs. In this paper we investigate how to employ such existing implementations for crisp query answering in \(DL\text {-}Lite_{R}\) over fuzzy ontologies. To this end we give an extended rewriting algorithm for the case of fuzzy \(DL\text {-}Lite_{R}\)-ABoxes that employs the one for crisp \(DL\text {-}Lite_{R}\) and investigate the limitations of this approach. We also tested the performance of our proto-type implementation FLite of this method.

Partially supported by DFG SFB 912 (HAEC).

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Correspondence to Theofilos Mailis .

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Mailis, T., Turhan, AY. (2015). Employing \(DL\text {-}Lite_{R}\)-Reasoners for Fuzzy Query Answering. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-15615-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15614-9

  • Online ISBN: 978-3-319-15615-6

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