Abstract
In this paper, we describe a preliminary version of Granul O, a system for building a granular view of individuals over an OWL ontology. The system applies granular computing techniques based on fuzzy clustering and relies on SPARQL for querying the given ontology and Fuzzy OWL 2 for representing the produced granular view. The system has been applied on a benchmark ontology in the touristic domain.
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Acknowledgments
This work was partially funded by the Università degli Studi di Bari “Aldo Moro” under the IDEA Giovani Ricercatori 2011 grant “Dealing with Vague Knowledge in Ontology Refinement”.
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Lisi, F.A., Mencar, C. (2017). A System for Fuzzy Granulation of OWL Ontologies. In: Petrosino, A., Loia, V., Pedrycz, W. (eds) Fuzzy Logic and Soft Computing Applications. WILF 2016. Lecture Notes in Computer Science(), vol 10147. Springer, Cham. https://doi.org/10.1007/978-3-319-52962-2_11
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DOI: https://doi.org/10.1007/978-3-319-52962-2_11
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