Characteristics Based Adaptive Weighting Method in Ontology Mapping

Abstract:

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Ontology mapping is a crucial task to enable interoperation and interoperability between related ontologies. Combining multiple mapping strategies can improve the mapping accuracy in ontology mapping. However, how to give weight values in multiple strategy ontology mapping is very difficult. Aiming at the problem, characteristics based adaptive weighting method is proposed in the paper. Six similarities is selected to reflect different kinds of ontological information. Ontologies characteristics related to the six similarities, which include self-characteristics and mutual-characteristics of both ontologies, are used to describe both ontologies to be mapped. Weight of each similarity is specified according to the characteristics of both ontologies. Experiment results showed that the method in the paper can get a better effect than traditional weights combining methods.

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Edited by:

Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo

Pages:

260-265

DOI:

10.4028/www.scientific.net/AMR.121-122.260

Citation:

L. Zhang and Y. H. Zhao, "Characteristics Based Adaptive Weighting Method in Ontology Mapping", Advanced Materials Research, Vols. 121-122, pp. 260-265, 2010

Online since:

June 2010

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Price:

$35.00

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