doi: 10.7763/IJCTE.2011.V3.350
Web Document Clustering and Visualization Results of Semantic Web Search Engine Using V-Ranking
S. K. Jayanthi1
,
S. Prema2
- 1Computer Science Department as Associate Professor and Head, Vellalar College for Women (Autonomous), Erode,Tamilnadu, India.
- 2Computer science Department as Asst. Prof, K.S.R. College of Arts and Science, Tiruchengode -637215, Namakkal district, Tamilnadu, India.
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
- Book Shelf Data Structure
- Content based Clustering
- Session Based clustering
- Visualization
- (Visual)-Ranking
How to 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. https://doi.org/10.7763/IJCTE.2011.V3.350
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).