Evaluation of Similarity Measures for Ontology Mapping

Authors: 
Ichise, R
Author: 
Ichise, R
Year: 
2009
Venue: 
New Frontiers in Artificial Intelligence
URL: 
http://www.springerlink.com/index/37414LP82K6P7457.pdf
Citations: 
4
Citations range: 
1 - 9

This paper presents an analysis of similarity measures for identifying ontology mapping. Using discriminant analysis, we investigated forty-eight similarity measures such as string matching and knowledge based similarities that have been used in previous systems. As a result, we extracted twenty-two effective similarity measures for identifying ontology mapping out of forty-eight possible similarity measures. The extracted measures vary widely in the type in similarity.