KnoE:A Web Mining Tool to Validate Previously Discovered Semantic Correspondences

作     者：Jorge Martinez-Gil José F.Aldana-Montes 

作者机构：Department of Computer Languages and Computing SciencesUniversity of MlagaBoulevard Louis Pasteur 35 Mlaga 29071Spain 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：2012年第27卷第6期

页      面：1222-1232页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Spanish Ministry of Innovation and Science through REALIDAD:Gestion Analisis y Explotacion Eficiente de Datos Vinculados under Grant No.TIN2011-25840 

主　　题：database integration data and knowledge engineering similarity distance 

摘      要：The problem of matching schemas or ontologies consists of providing corresponding entities in two or more knowledge models that belong to a same domain but have been developed separately. Nowadays there are a lot of techniques and tools for addressing this problem, however, the complex nature of the matching problem make existing solutions for real situations not fully satisfactory. The Google Similarity Distance has appeared recently. Its purpose is to mine knowledge from the Web using the Google search engine in order to semantically compare text expressions. Our work consists of developing a software application for validating results discovered by schema and ontolog2/ matching tools using the philosophy behind this distance. Moreover, we are interested in using not only Google, but other popular search engines with this similarity distance. The results reveal three main facts. Firstly, some web search engines can help us to validate semantic correspondences satisfactorily. Secondly there are significant differences among the web search engines. And thirdly the best results are obtained when using combinations of the web search engines that we have studied.