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General Information
    • ISSN: 1793-8201 (Print)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • E-mail: ijcte@iacsitp.com
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2011 Vol.3(3): 463-467 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.350

Web Document Clustering and Visualization Results of Semantic Web Search Engine Using V-Ranking

S. K. Jayanthi and S. Prema

Abstract—As the number of available Web pages grows; it is become more difficult for users finding documents relevant to their interests. Clustering is the classification of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure. Because of the short lengths of queries, approaches based on keywords are not suitable for document clustering. This paper describes a new Web Document Clustering method that makes use of user logs which allow identifying the documents the users have selected for a query. The similarity between two queries may be deduced from the common documents the users selected for them. This research paper show that a combination of both content based and session based clustering [1] is better than using either method alone. The clustered documents are arranged based on V-Ranking. In this research work, it has been proposed to display the result in visual mode of semantic search engine using V (Visual) - Ranking algorithm and bookshelf data structure. This paper proposes a semantic web search results in visualize web graphs, representations of web structure overlaid with information and pattern tiers by providing the viewer with a qualitative understanding of the information contents.

Index Terms—Book Shelf Data Structure, Content based Clustering, Session Based clustering, Visualization, (Visual)-Ranking.

Dr. S. K. Jayanthi is with Computer Science Department as Associate Professor and Head , Vellalar College for Women (Autonomous), Erode,Tamilnadu, India(e-mail: jayanthiskp@gmail.com).
S. Prema is with Computer science Department as Asst. Prof, K.S.R. College of Arts and Science, Tiruchengode -637215, Namakkal district, Tamilnadu, India . (e-mail: prema_shanmuga@yahoo.com).


Cite: S. K. Jayanthi and S. Prema, "Web Document Clustering and Visualization Results of Semantic Web Search Engine Using V-Ranking," International Journal of Computer Theory and Engineering vol. 3, no. 3, pp. 463-467, 2011.

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