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Published Paper

0948-695x

Journal of Universal Computer Science

Journal of Universal Computer Science

Complexity Analysis of Ontology Integration Methodologies: A Comparative Study

Trong Hai Duong, Geun Sik Jo, Jason J.Jung and Ngoc Thanh Nguyen

DOI:
Từ khoá:

Dương Trọng Hải

Hải Dương

Tóm tắt

Most previous research on ontology integration has focused on similarity measure-ments between ontologicalentities, e.g.,lexicons,instances,schemasandtaxonomies, resultingin high computational costs of considering all possible pairs between two given ontologies. Inthis paper, we propose a novel approach to reducing computational complexity in ontology in-tegration. Thereby, we address theimportanceandtypes of concepts, for priority matching anddirect matching between concepts, respectively.Identity-based similarityis computed, to avoidcomparisons of all properties related to each concept, while matching between concepts. Theproblem of conflict in ontology integration has initially been explored on theinstance-levelandconcept-level. This is useful to avoid many cases of mismatching.

Trong Hai Duong, Geun Sik Jo, Jason J.Jung and Ngoc Thanh Nguyen (2009), "Complexity Analysis of Ontology Integration Methodologies: A Comparative Study ", Journal of Universal Computer Science, 15, (4), pp. 877-897

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