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2010•Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)Open access

Ontology merging and matching using ontology abstract machine

Gopinath Ganapathy, Ravi Lourdusamy

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Abstract

Ontology mediation is enabled through interoperability of semantic data sources. It helps data sharing between heterogeneous knowledgebase and reuse by semantic applications. Ontology mediation includes operations such as, mapping, alignment, matching, merging and integration. This paper aims at discussing a new approach of ontology merging and matching using ontology abstract machine with an illustration from a health care domain.

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What this paper is about

Ontology mediation is enabled through interoperability of semantic data sources. It helps data sharing between heterogeneous knowledgebase and reuse by semantic applications. Ontology mediation includes operations such as, mapping, alignment, matching, merging and integration. This paper aims at discussing a new approach of ontology merging and matching using ontology abstract machine with an illustration from a health care domain.

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Available abstract

Ontology mediation is enabled through interoperability of semantic data sources. It helps data sharing between heterogeneous knowledgebase and reuse by semantic applications. Ontology mediation includes operations such as, mapping, alignment, matching, merging and integration. This paper aims at discussing a new approach of ontology merging and matching using ontology abstract machine with an illustration from a health care domain.

Key concepts: Ontology, Computer science, Ontology-based data integration, Upper ontology, Ontology alignment, Ontology Inference Layer, Process ontology, Suggested Upper Merged Ontology

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