Web People Search Using Ontology Based Decision Tree

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.