A Rule-basedMethod for ExtractingRDF(S)and OWLSub-ontologies
BibTeX
@MISC{Hussain_arule-basedmethod,
author = {Sajjad Hussain and Syedsibte Raza Abidi and Faculty Of Computerscience},
title = {A Rule-basedMethod for ExtractingRDF(S)and OWLSub-ontologies},
year = {}
}
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Abstract
Abstract. Sub-Ontology extraction, from a large ontology, leads to the generation of a specialized knowledge model that is pertinent to specific problems. Existing sub-ontology extraction methods tend to either render a too generalized or a too restricted sub-ontology that at times does notcapturetheentiresemanticsoftheparentontology.Wepresentasubontology extraction method that using N3 rules to extract a sub-ontology from RDF(S) and OWL ontologies whilst extending the semantics of the extracted concepts and their relationships in the sub-ontology. Our approach features the following tenets (i) identifying the user-selected concepts; (ii) extracting the user-selected concepts, their roles and their individuals; and (iii) extracting other concepts, roles and individuals that are immediate structurally-connected with the user-selected concepts. As a test-case,wepresentthesub-ontologyextractionoutcomeforahealthcare ontologyrepresentingProstateCancer caremanagement. 1
Citations
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| 1 | Dynamic sub-ontology evolution for collaborativeproblem-solving. In:AAAI fall symposium.(2005 - Mao, Cheung, et al. |
