CFP last date
20 June 2024
Reseach Article

Automatic Tag cloud Realization of web search results using Incremental Clustering By Directions Algorithm

Published on April 2012 by Maheswari. R, D. Vijayakumar
International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 1
April 2012
Authors: Maheswari. R, D. Vijayakumar
ee81fe69-f7b7-47de-873c-5d04ca0d085b

Maheswari. R, D. Vijayakumar . Automatic Tag cloud Realization of web search results using Incremental Clustering By Directions Algorithm. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 1 (April 2012), 12-17.

@article{
author = { Maheswari. R, D. Vijayakumar },
title = { Automatic Tag cloud Realization of web search results using Incremental Clustering By Directions Algorithm },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 1 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 12-17 },
numpages = 6,
url = { /proceedings/icon3c/number1/6002-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A Maheswari. R
%A D. Vijayakumar
%T Automatic Tag cloud Realization of web search results using Incremental Clustering By Directions Algorithm
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 1
%P 12-17
%D 2012
%I International Journal of Computer Applications
Abstract

This paper concerns a subject oriented clustering algorithm for clustering the web search results obtained from web search engines. The algorithm is designed to create a list of words which serve as suggestions for users of search engines to modify their current search query. When a user executes a query, the algorithm shows potential directions in which the search can be continued. In this algorithm, the computational complexity of selecting different subjects is reduced by interpreting the set of all web page representations and their distances between them as a complete weighted graph. An incremental clustering approach has been proposed which avoids the process of reclustering the web pages. A list of suggested words or the clusters is presented to the user in the form of a tag cloud in which terms are arranged in a radial manner to increase the relevancy of search process.

References
  1. http://www. worldwidewebsize. com/index. php?lang=N
  2. Ramesh singh , Dhuruv Dhingra, and Aman Arora, "SCHISM-A web search Engine using semantic taxonomy", IEEE potentials Oct 2010 volume:29, NO:5, pp. 36-40.
  3. Ahmed Sameh and Amar Kadray, " Semantic web search results clustering using Lingo and Word Net", International Journal of Research and Reviews in Computer Science Vol. 1, No. 2, June 10, pp. 71-76.
  4. P. Pantel and D. Lin, "Document clustering with committees," in Proc. 25th Annu. Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval, Aug. 2002, pp. 199–206.
  5. Jung-Yi Jiang, Ren-Jia Liou, and Shie-Jue Lee, "A Fuzzy Self Constructing Feature Clustering Algorithm for Text Classification", IEEE transactions on knowledge and data engineering, Volume. 23, NO:. 3, March 2011, pp. 335-349.
  6. Unsupervised Semantic Similarity Computation between Terms Using Web Documents, Elias Iosif, IEEE transactions on knowledge and data engineering, vol. 22, no. 11, Nov 2010, pp. 1637 -1647.
  7. B. M. Fonseca, P. Golgher, B. Pôssas, B. Ribeiro-Neto, and N. Ziviani, "Concept-based interactive query expansion," in Proc. 14th ACM Conf. Inf. Knowl. Manag. , Bremen, Germany, Oct. 2005, pp. 696–703.
  8. D. Crabtree, P. Andreae, and X. Gao, "Understanding query aspects with applications to interactive query expansion," in Proc. IEEE/WIC/ACMInt. Conf. Web Intell. , Silicon Valley, CA, Sep. 2007, pp. 691–695.
  9. R. W. White and G. Marchionini, "Examining the effectiveness of realtime query expansion," Inf. Process. Manage. , vol. 43, no. 3, pp. 685–704, ay 2007.
  10. J. Li,M. Guo, and S. Tian, "A new approach to query expansion," in Proc. 4th IEEE Int. Conf. Mach. Learn. Cybern. , Guangzhou, China, Aug. 2005, vol. 4, pp. 2302–2306.
  11. P. A. Chirita, C. S. Firan, andW. Nejdl, "Personalized query expansion for the Web," in Proc. 30th ACM SIGIR Conf. Res. Develop. Inf. Retrieval,Jul. 2007, pp. 7–14.
  12. Y. Takama and S. Hattori, "Mining association rules for adaptive search engine based on RDF technology," IEEE Trans. Ind. Electron. , vol. 54, no. 2, pp. 790–796, Apr. 2007.
  13. A. L. Kaczmarek, "Clustering by directions algorithm to narrow search queries," in Proc. IEEE Human Syst. Interaction Conf. , Krakow, Poland, May 2008, pp. 689–694.
  14. V. Vinay, K. Wood, N. Milic-Frayling, and I. J. Cox, "Comparing relevance feedback algorithms for Web search," in Proc. WWW: Special Interest Tracks Posters 14th ACM Int. Conf. World Wide Web, Chiba, Japan, May 2005, pp. 696–703.
  15. M. Okabe and S. Yamada, "Semisupervised query expansion with minimal feedback," IEEE Trans. Knowl. Data Eng. , vol. 19, no. 11, pp. 1585–1589, Nov. 2007.
  16. G. Salton and C. Buckley, "Term-weighting approaches in automatic text retrieval," Inf. Process. Manage. , vol. 24, no. 5, pp. 513–523, 1988.
  17. C. Seifert, B. Kump, W. Kienreich, G. Granitzer, and M. Granitzer, "On the beauty and usability of tag clouds," in Proc. 12th IEEE Int. Conf. Inf. Vis. , London, U. K. , Jul. 2008, pp. 17–25.
  18. E. Agichtein, E. Brill, and S. Dumais, "Improving Web search ranking by incorporating user behavior information," in Proc. 29th Annu. Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval, Aug. 2006, pp. 19–26.
  19. M. Wu, J. She, G. Zeng, and Y. Ohyama, "Internet-based teaching and experiment system for control engineering course," IEEE Trans. Ind. Electron. , vol. 55, no. 6, pp. 2386–2396, Jun. 2008.
  20. M. T. Restivo, J. Mendes, A. M. Lopes, C. M. Silva, and F. Chouzal, "A remote laboratory in engineering measurement," IEEE Trans. Ind. Electron. , vol. 56, no. 12, pp. 4836–4843, Dec. 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Clustering Informatin Reterival Interactive Query Expansion Search Methods Direction