Ontology instance matching by considering semantic link cloud

Authors:
Md. Hanif Seddiqui;Masaki Aono
Affiliations:
Dept. of Electronic and Computer Engineering, Toyohashi University of Technology, Tempaku-cho, Toyohashi, Japan;Dept. of Information Sciences, Toyohashi University of Technology, Tempaku-cho, Toyohashi, Japan
Venue:
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
Year:
2010

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Abstract

The proliferation of heterogeneous sources of instances raises a research issue of achieving interoperability through instance matching. In this paper, we propose an efficient algorithm for ontology instance matching by considering the semantic links associated to a particular instance. An instance is specified explicitly with the help of linked concepts, properties and their values in a neighborhood. We refer these neighboring links of an instance as a "Semantic Link Cloud (SLC)" in a collection. We compare SLCs to align ontology instances across heterogeneous sources of ontology knowledge base. Our algorithm shows its efficiency over various transformations of a dataset: value transformation, logical and structural transformation.