Application of Textual Corpus in Ontology Matching

摘要：

Ontology matching or finding similarities between concepts of different ontologies, has many applications today. One automatic approach for finding these similarities is by leveraging machine learning techniques. In this paper we propose a new method in which a test corpus is used as the source of knowledge in conjunction with a machine learning method to find matchings between two ontologies.

关键词： ontology matchin machine learning text corpus

作者: Besat Kassaie Maseud Rahgozar Alireza Vazifedoost

作者单位: Islamic Azad University Science and Research Branch Tehran, Iran Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineeri School of Electrical and Computer Engineering, University College of Engineering, University of Tehr

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Engineering and Applications(2011第三届计算机工程与应用国际会议 ICCEA2011)

会议地点: 海口

会议语种:英文

页码: 450-454

在线出版日期: 2011-07-15（万方平台首次上网日期，不代表论文的发表时间）