CFP last date
20 December 2024
Reseach Article

A Comparative Study on the Effectiveness of Semantic Search Engine over Keyword Search Engine using TSAP Measure

Published on December 2012 by A. K. Mariappan, R. M. Suresh, V. Subbiah Bharathi
EGovernance and Cloud Computing Services - 2012
Foundation of Computer Science USA
EGOV - Number 1
December 2012
Authors: A. K. Mariappan, R. M. Suresh, V. Subbiah Bharathi
76d1ae6a-b798-4da6-9129-7ba351573c45

A. K. Mariappan, R. M. Suresh, V. Subbiah Bharathi . A Comparative Study on the Effectiveness of Semantic Search Engine over Keyword Search Engine using TSAP Measure. EGovernance and Cloud Computing Services - 2012. EGOV, 1 (December 2012), 4-6.

@article{
author = { A. K. Mariappan, R. M. Suresh, V. Subbiah Bharathi },
title = { A Comparative Study on the Effectiveness of Semantic Search Engine over Keyword Search Engine using TSAP Measure },
journal = { EGovernance and Cloud Computing Services - 2012 },
issue_date = { December 2012 },
volume = { EGOV },
number = { 1 },
month = { December },
year = { 2012 },
issn = 0975-8887,
pages = { 4-6 },
numpages = 3,
url = { /proceedings/egov/number1/9481-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 EGovernance and Cloud Computing Services - 2012
%A A. K. Mariappan
%A R. M. Suresh
%A V. Subbiah Bharathi
%T A Comparative Study on the Effectiveness of Semantic Search Engine over Keyword Search Engine using TSAP Measure
%J EGovernance and Cloud Computing Services - 2012
%@ 0975-8887
%V EGOV
%N 1
%P 4-6
%D 2012
%I International Journal of Computer Applications
Abstract

The evaluation of search engine effectiveness has gained considerable momentum in the last few years. The effectiveness, measures the ability of the search engine to find the relevant information for the given user query. In recent years considerable research efforts have been devoted in developing semantic search engines aims to improve the traditional information search and retrieval process. We have seen number of semantic search engine projects and frameworks being implemented in various domains. In this paper, we have provided the results of retrieval effectiveness of Semantic Search engine against Keyword search engine using TREC Style Average Precision (TSAP) measure with little modification.

References
  1. R A Baeza-Yates and B A Ribeiro-Neto, 1999: Modern Information Retrieval, ACM Press.
  2. S Brin and L Page, 1998: The Anatomy of a Large Scale hypertextual web search engine. Computer Networks and ISDN Systems,Vol. 30, No. 1-7,pp107-117.
  3. J M Kleinberg,1998: Authoritative sources in a hyperlinked environment. SODA, pp. 668-677.
  4. S. C. Deerwester, S. T. Dumais, T. K. . Landauer, G. W. Furnas and R. A. Harshman, 1990: Indexing by latent semantic analysis. JASIS, Vol. 41,No. 6, pp. 391-407.
  5. H Chen,1995:Machine learning for information retrieval: Neural Networks, Symbolic learning, and genetic algorithms. JASIS, Vol. 46, No. 3, pp. 194-216.
  6. T Hofmann, 1999:Probabilistic latent semantic analysis UAI, pp. 289-286.
  7. Cleverdon, C. W. ,1967: The Cranfield tests on index language devices. ASLIB Proceedings, 19, pp. 177-194.
  8. Voorhees, E. & Harman, D. Overview of TREC 2001. In The Tenth Text Retrieval Conference (TREC 2001).
  9. Leighton, H. (1996): Performance of four WWW index services, Lycos, Infoseek, Webcrawler and WWW Worm. http://www. winona. edu/library/webind. htm.
  10. Ding, W. , & Marchionini, G. 1996: A comparative study of The Web search service performance. In proceeding of the ASIS 1996 Annual Conference, October, 33, pp136-142, 1996.
  11. Chu, H. , & Rosenthal, M. (1996): Search engines for the World Wide Web: A Compartive study and evaluation methodology. Proceedings of the ASIS 1996, Annual Conference, 33, pp. 127-135.
  12. Clarke. S. ,and Willett,P. 1997: Estimating the recall performance of search of search engines. ASLIB Proceedings, 49(7), pp. 184-189, 1997.
  13. D. Hawking, N. Craswell, P. Bailey, K. Griffiths. , 2001:Measuring Search Engine Quality. Information Retrieval Journal, 4(1):33-59, 2001.
  14. Shafi, S. M. , & Rather, R. A. (2005). Precision and recall of five search engines for retrieval of scholarly information in the field of biotechnology. Webology, 2(2). http://www. webology. ir/2005/v2n2/a12. html.
Index Terms

Computer Science
Information Sciences

Keywords

Bing Hakia Information Retrieval Tsap Search Engine Semantic Search