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Ontology similarity measurement method in rapid data integration

posted Oct 30, 2012, 3:58 AM by Chih Yuan Chen   [ updated Dec 3, 2012, 6:01 PM by Byounghyun Yoo ]
Juebo Wu, Chen-Chieh Feng and Chih-Yuan Chen, International Conference on Data Technologies and Applications(DATA2012), Rome, Italy, 25-27 July 2012. 

Abstract: Rapid data integration has been a challenging topic in the field of computer science and its related subjects,widely used in data warehouse, artificial intelligence, biological medicine, and geographical information system etc. In this paper, we present a method of ontology similarity measurement in rapid data integration, by means of semantic ontology from high-level perspective. The edit  distance algorithm is introduced as the basic principle for ontology similarity calculation. A case study is carried out and the result shows that the presented method is feasible and effective.

Keywords: ontology similarity, rapid data integration, ontology mapping.

Byounghyun Yoo,
Oct 30, 2012, 3:58 AM