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Mapping Ontologies by Utilising Their Semantic Structure

Mapping Ontologies by Utilising Their Semantic Structure

Yi Zhao, Wolfgang A. Halang
Copyright: © 2009 |Pages: 7
ISBN13: 9781599048499|ISBN10: 1599048493|EISBN13: 9781599048505
DOI: 10.4018/978-1-59904-849-9.ch155
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MLA

Zhao, Yi, and Wolfgang A. Halang. "Mapping Ontologies by Utilising Their Semantic Structure." Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, et al., IGI Global, 2009, pp. 1049-1055. https://doi.org/10.4018/978-1-59904-849-9.ch155

APA

Zhao, Y. & Halang, W. A. (2009). Mapping Ontologies by Utilising Their Semantic Structure. In J. Rabuñal Dopico, J. Dorado, & A. Pazos (Eds.), Encyclopedia of Artificial Intelligence (pp. 1049-1055). IGI Global. https://doi.org/10.4018/978-1-59904-849-9.ch155

Chicago

Zhao, Yi, and Wolfgang A. Halang. "Mapping Ontologies by Utilising Their Semantic Structure." In Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, Julian Dorado, and Alejandro Pazos, 1049-1055. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-849-9.ch155

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Abstract

As a key factor to enable interoperability in the Semantic Web (Berners-Lee, Hendler & Lassila, 2001), ontologies are developed by different organisations at a large scale, also in overlapping areas. Therefore, ontology mapping has come into forth to achieve knowledge sharing and semantic integration in an environment where knowledge and information are represented by different underlying ontologies. The ontology mapping problem can be defined as acquiring the relationships that hold between the entities of two ontologies. Mapping results can be used for various purposes such as schema/ontology integration, information retrieval, query mediation, or web service mapping. In this article, a method to map concepts and properties between ontologies is presented. First, syntactic analysis is applied based on token strings, and then semantic analysis is executed according to WordNet (Fellbaum, 1999) and tree-like graphs representing the structures of ontologies. The experimental results exemplify that our algorithm finds mappings with high precision.

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