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

• Published in: Journal of computer science and technology Vol. 27; no. 6; pp. 1222 - 1232
• Main Author: Jorge Martinez-Gil Jose F. Aldana-Montes
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.11.2012; Springer Nature B.V; Department of Computer Languages and Computing Sciences, University of Málaga, Boulevard Louis Pasteur 35 Málaga 29071, Spain
• Subjects: Analysis; Artificial Intelligence; Computer programs; Computer Science; Data mining; Data Structures and Information Theory; Information Systems Applications (incl.Internet); Knowledge; Matching; Mathematical models; Natural language; Ontology; Regular Paper; Search engines; Semantic web; Semantics; Similarity; Software Engineering; Studies; Systems integration; Texts; Theory of Computation; Web; 匹配问题; 应用程序; 数据挖掘工具; 相似距离; 网络搜索引擎; 语义; 验证; similarity distance; database integration; data and knowledge engineering
• ISSN: 1000-9000; 1860-4749
• DOI: 10.1007/s11390-012-1298-9

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.