Title: Isolation-based subsumption reasoning with enormous volume of web ontologies for scalable semantic service discovery

Authors: Dohyun Kim; Younghee Lee

Addresses: Department of Information and Communication Engineering, KAIST, 335 Gwahak-ro, Yuseong-gu, Daejeon 305-701, South Korea ' Department of Information and Communication Engineering, KAIST, 335 Gwahak-ro, Yuseong-gu, Daejeon 305-701, South Korea

Abstract: The description of service with expressive Web Ontology Language (OWL) ontologies facilitates semantics-based service advertisement and discovery. However, modern description logic (DL) reasoners do not provide sufficiently tolerable and scalable infrastructure for the advertisement and discovery of service profiles on the basis of enormous volumes of OWL ontologies on the web. In this paper, we present an import graph-based tolerable and scalable reasoner that can be implemented on top of off-the-shelf DL reasoners. The reasoner has been designed to reduce the reasoning workload of these reasoners by excluding ontologies not relevant for resolving a given subsumption query. On average, the proposed method isolates about 87.6%-99.9% of all ontologies when performing a given reasoning task. This leads to a significant reduction, by at least 85.6%, in the response time of subsumption reasoning when a naive reasoning strategy involving the loading of all ontologies onto a reasoner is used.

Keywords: semantic service discovery; Web Ontology Language; OWL; ontology reasoning; subsumption queries; scalable reasoning; isolation; import graph; description logic.

DOI: 10.1504/IJCSE.2016.076219

International Journal of Computational Science and Engineering, 2016 Vol.12 No.2/3, pp.166 - 175

Available online: 28 Apr 2016 *

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