Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.1468-0394.2010.00544.x
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dc.titleA philosophy-driven entity classification and enrichment for ontology mapping
dc.contributor.authorTun, N.N.
dc.contributor.authorDong, J.S.
dc.contributor.authorTojo, S.
dc.date.accessioned2013-07-04T07:30:27Z
dc.date.available2013-07-04T07:30:27Z
dc.date.issued2011
dc.identifier.citationTun, N.N., Dong, J.S., Tojo, S. (2011). A philosophy-driven entity classification and enrichment for ontology mapping. Expert Systems 28 (2) : 138-166. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1468-0394.2010.00544.x
dc.identifier.issn02664720
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/38945
dc.description.abstractOntologies are intended to facilitate semantic interoperability among distributed and intelligent information systems. Because of the distributed nature of the World Wide Web, Web ontologies have been developing in multiple forms of heterogeneity. For interoperating among information systems through heterogeneous ontologies, ontology mapping is a prerequisite process to generate alignment between two ontologies. In order to improve alignment accuracy, our approach is to clarify and enrich the semantics of ontological entities before mapping. For this purpose, we present a semi-automatic framework of entity classification and enrichment by applying three philosophical notions: identity condition, existential rigidity, and external dependency. Our objective is to supply a set of philosophy-driven anchors into ontologies for their mapping process by using a sortal taxonomy as a background knowledge model. © 2010 Blackwell Publishing Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1111/j.1468-0394.2010.00544.x
dc.sourceScopus
dc.subjectknowledge representation
dc.subjectontologies
dc.subjectontology mapping and alignment
dc.subjectsemantic enrichment
dc.subjectsemantic heterogeneity
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1111/j.1468-0394.2010.00544.x
dc.description.sourcetitleExpert Systems
dc.description.volume28
dc.description.issue2
dc.description.page138-166
dc.description.codenEXSYE
dc.identifier.isiut000289684100004
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