Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/49798
Title: Ontology similarity measurement method in rapid data integration
Authors: Wu, J. 
Feng, C.-C. 
Chen, C.-Y. 
Keywords: Ontology mapping
Ontology similarity
Rapid data integration
Issue Date: 2012
Source: Wu, J.,Feng, C.-C.,Chen, C.-Y. (2012). Ontology similarity measurement method in rapid data integration. DATA 2012 - Proceedings of the International Conference on Data Technologies and Applications : 237-240. ScholarBank@NUS Repository.
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.
Source Title: DATA 2012 - Proceedings of the International Conference on Data Technologies and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/49798
ISBN: 9789898565181
Appears in Collections:Staff Publications

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