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College of Computer Science, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University

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1 Papers

COMBINING TWO STRATEGIES FOR ONTOLOGY MAPPING

Topic: Ontology and the Semantic Web

Authors: Ying Wang , Jianbin Gong , Zhe Wang , Yanchun Liang and Nan Lu

Affiliation: College of Computer Science, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, China

Digital Object Identifier: 10.5220/0001247003810386

Proceedings of WEBIST 2006, ISBN: 978-972-8865-46-7

Quick Abstract

Ontologies are the key to the Semantic Web because they are the carriers of the meanings contained in the Semantic Web (McGuinness, 2002). At the same time, ontology mappings can provide a channel from which several ontologies could be accessed and hence could exchange information. Establishing such mappings has been the focus of a variety of research originating from diverse communities. In this paper, we propose an approach ACAOM (A Composite Approach for Ontology Mapping) for automatic ontology mapping based on the combination of name and instance based strategies. ACAOM uses WordNet to calculate similarities between concepts in two ontologies and also uses instances that include text information to build vectors, and then computes similarities. The two similarity measures are then combined to create the results of mapping. The experimental results and comparisons with related work indicate that ACAOM can find mappings effectively.

Related Ontology Subjects/Areas/Topics (3)

Ontology and the Semantic Web

Web Information Systems and Technologies

Web Interfaces and Applications