Description Logics (DLs) are a family of knowledge representation formalisms, that provides the theoretical basis for the standard web ontology language OWL. Generalization services like the least common subsumer (lcs) and the most specific concept (msc) are the basis of several ontology design methods, and form the core of similarity measures. For the DL ELOR, which covers most of the OWL 2 EL profile, the lcs and msc need not exist in general, but they always exist if restricted to a given role-depth. We present algorithms that compute these role-depth bounded generalizations. Our method is easy to implement, as it is based on the polynomial-time completion algorithm for ELOR.

Ecke, A., Penaloza, R., Turhan, A. (2013). Computing Role-depth Bounded Generalizations in the Description Logic ELOR. In KI 2013: Advances in Artificial Intelligence ; 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings (pp.49-60). Springer-Verlag [10.1007/978-3-642-40942-4_5].

Computing Role-depth Bounded Generalizations in the Description Logic ELOR

Penaloza, R
;
2013

Abstract

Description Logics (DLs) are a family of knowledge representation formalisms, that provides the theoretical basis for the standard web ontology language OWL. Generalization services like the least common subsumer (lcs) and the most specific concept (msc) are the basis of several ontology design methods, and form the core of similarity measures. For the DL ELOR, which covers most of the OWL 2 EL profile, the lcs and msc need not exist in general, but they always exist if restricted to a given role-depth. We present algorithms that compute these role-depth bounded generalizations. Our method is easy to implement, as it is based on the polynomial-time completion algorithm for ELOR.
paper
non-standard reasoning, description logics
English
Annual German Conference on Artificial Intelligence (KI 2013) 16-20 September
2013
Timm, IJ;Thimm, M
KI 2013: Advances in Artificial Intelligence ; 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings
978-3-642-40941-7
2013
8077
49
60
https://link.springer.com/chapter/10.1007/978-3-642-40942-4_5
open
Ecke, A., Penaloza, R., Turhan, A. (2013). Computing Role-depth Bounded Generalizations in the Description Logic ELOR. In KI 2013: Advances in Artificial Intelligence ; 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings (pp.49-60). Springer-Verlag [10.1007/978-3-642-40942-4_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/258344
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