Evaluation of Similarity Measures for Ontology Mapping

被引：0
|
作者：
Ichise, Ryutaro [1 ]
机构：
[1] Natl Inst Informat, Tokyo 1018430, Japan
来源：
NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2009年 / 5447卷
关键词：
ALGORITHM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：15 / 25
页数：11
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