A Flexible System for Ontology Matching

被引:0
|
作者
DuyHoa Ngo [1 ]
Bellahsene, Zohra [1 ]
Coletta, Remi [1 ]
机构
[1] Univ Montpellier 2, INRIA, LIRMM, F-34392 Montpellier, France
来源
IS OLYMPICS: INFORMATION SYSTEMS IN A DIVERSE WORLD | 2012年 / 107卷
关键词
Ontology matching; machine learning; flexibility; self-configuration; cost-sensitive classification;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most of the solutions provided by current ontology matching tools lack flexibility and extensibility namely for adding new matchers and dealing with users' requirements. In this paper, we present a system YAM++, which supports self-configuration, flexibility and extensibility in combining individual matchers. Additionally, it is more human-centered approach since it allows users to express their preference between precision and recall. A set of experiments over OAEI Benchmark datasets demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility of the system.
引用
收藏
页码:79 / 94
页数:16
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