Ontology Based Clustering and Enriched Page Ranking for web content mining
Authors :
Nagappan, V.K a,* and Dr. P. Elangob
Author Address :
aResearch Scholar, Research and Development Center Bharathiar University, Coimbatore
b Dept. of Information Technology, PerunthalaivarKamarajar Institute of Engineering and Technology (PKIET) ( Govt. of Puducherry Institution) Nedungadu.Karaikal, UT of Puducherry.
*Corresponding author.
Abstract :
With the elite growth in the www makes the internet growing very fast. Web leads a great challenge for both the users, who are seeking for effectively valuable information pages and academic research people. The user spent lot of time in searching to get the relevant useful information. It takes time to look through all the pages, so clustering web pages is an important aspect in web mining. In this paper, a ontology based clustering method is introduced. This approach is designed to cluster all the web pages into number of group in effective manner. Hence it becomes easy to explore appropriate pages for a specific topic in minimum time. Most of the search engines are ranking their search results in response to user queries to make their search steering easier. In this paper also used Enriched page ranking algorithm called Reachablity based page ranking for web content mining to retrieve more relevant pages. This approach does not involve any iterative
technique, damping factor or initialization of the page ranks.
Keywords :
Web mining, Ontology, Clustering, Feature Weights, Page Ranking, Information Retrieval.
DOI :
Article Info :
Received : July 10, 2015; Accepted : September 28, 2015.
