Schema Matching Algorithm for Integrating Geographic Information


KIPS Transactions on Software and Data Engineering, Vol. 2, No. 3, pp. 173-186, Mar. 2013
10.3745/KTSDE.2013.2.3.173, Full Text:

Abstract

Web-based map services provide various geographic information that users want to get by continuous updating of data. Those map services provide different information for a geographic object respectively. It causes several problems, and most of all various information cannot be integrated and provided. To resolve the problem, this paper proposes a system which can integrate diverse geographic information and provide users rich geographic information. In this paper, a hybrid schema matching (HSM) algorithm is proposed and the algorithm is a mixture of the adapter-based semantic processing method, static semantic management-based approach, and dynamic semantic management-based approach. A comparative evaluation is described to show effectiveness of the proposed algorithm. The proposed algorithm in this paper improves the accuracy of schema matching because of registration and management of schemas of new semantic information. The proposal enables vocabulary-based schema matching using various schemas, and it thus also supports high usability. Finally, the proposed algorithm is cost-effective by providing the progressive extension of relationships between schema meanings.


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Cite this article
[IEEE Style]
J. Y. Lee, S. H. Lee, J. W. Kim, D. W. Jeong and D. K. Baik, "Schema Matching Algorithm for Integrating Geographic Information," KIPS Transactions on Software and Data Engineering, vol. 2, no. 3, pp. 173-186, 2013. DOI: 10.3745/KTSDE.2013.2.3.173.

[ACM Style]
Ji Yoon Lee, Suk Hoon Lee, Jang Won Kim, Dong Won Jeong, and Doo Kwon Baik. 2013. Schema Matching Algorithm for Integrating Geographic Information. KIPS Transactions on Software and Data Engineering, 2, 3, (2013), 173-186. DOI: 10.3745/KTSDE.2013.2.3.173.