期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2012
卷号：2
期号：2
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Nowadays, searching for people on web is the most common activity done by most of the users. When we give a query for person search, it returns a set of web pages related to distinct person of given name. For such type of search the job of finding the web page of interest is left on the user. In this paper, we develop a technique for web people search which clusters the web pages based on semantic information and maps them using ontology based decision tree making the user to access the information in more easy way. This technique uses the concept of ontology thus reducing the number of inconsistencies. The result proves that ontology based decision tree and clustering helps in increasing the efficiency of the overall search.
关键词：Web people search; Ontology based decision tree; Clustering; Semantic information;Efficiency.
