Ontology Instance Matching by Considering Semantic Link Cloud
نویسندگان
چکیده
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. Key–Words: Identity Recognition, Record Linkage, Ontology Knowledge base, Ontology Alignment, Instance Matching, Semantic Link Cloud
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