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-LiteR over fuzzy ontologies. To this end we give an extended rewriting algorithm for the case of fuzzy DL-LiteR-ABoxes that employs the one for crisp DL-LiteR and investigate the limitations of this approach.We also tested the performance of our proto-type implementation FLITE of this method.
Cite
CITATION STYLE
Mailis, T., & Turhan, A. Y. (2015). Employing DL-LiteR-reasoners for fuzzy query answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8943, pp. 63–78). Springer Verlag. https://doi.org/10.1007/978-3-319-15615-6_5
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