A MULTILEVEL UNL CONCEPT BASED SEARCHING AND RANKING

E. Umamaheswari, T. V. Geetha, Ranjani Parthasarathi, Madhan Karky

2011

Abstract

The recent advances in search engines have resulted in a huge explosion of available web documents. Understanding the content on the web and providing meaningful search results to the user have become essential for any search engine. This paper proposes CoReS, a multilevel Concept based Searching and Ranking Algorithm which retrieves and ranks the documents based on the concepts and relationships between the concepts. The search and rank methodology is based on Universal Networking Language (UNL) representation of the documents. The UNL Index based query expansion technique is used to provide more meaningful results to the user. The algorithm has been evaluated on a corpus of tourism documents, and its performance compared with keyword based search. The mean average precision of the concept based search is found to be 0.75 while the keyword based search has a MAP score of 0.45.

References

  1. Brin, S. and Page, L. (1998). The anatomy of a largescale hypertextual web search engine. In Computer Networks and ISDN Systems, pages 107-117. Elsevier Science Publishers B. V.
  2. Gao, M., Liu, C., and Chen, F. (2005). An ontology search engine based on semantic analysis. Information Technology and Applications, International Conference on, 1:256-259.
  3. HAKIA (2009). A hakia search engine.
  4. Kraines, S. B., Guo, W., Kemper, B., and Nakamura, Y. (2006). Ekoss: A knowledge-user centered approach to knowledge sharing, discovery, and integration on the semantic web. In Cruz, I. F., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., and Aroyo, L., editors, International Semantic Web Conference, volume 4273 of Lecture Notes in Computer Science, pages 833-846. Springer.
  5. M, Z. and H, U. (1998). The universal networking language (unl) specification version 3.0 1998. In Technical Report.
  6. Sensebot (2009). Sensebot search engine.
  7. Surve, M., Singh, S., Kagathara, S., Dubey, S., Rane, G., Saraswati, J., Badodekar, S., Almeida, A., Nikam, R., Perez, C. G., and Group, A. (2004). Agro-explorer: A meaning based multilingual search engine. In International Conference on Digital Libraries (ICDL.
  8. Tumer, D., Shah, M. A., and Bitirim, Y. (2009). An empirical evaluation on semantic search performance of keyword-based and semantic search engines: Google, yahoo, msn and hakia. In Proceedings of the 2009 Fourth International Conference on Internet Monitoring and Protection, pages 51-55.
  9. UNDL (2009). Universal networking digital language foundation.
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Paper Citation


in Harvard Style

Umamaheswari E., V. Geetha T., Parthasarathi R. and Karky M. (2011). A MULTILEVEL UNL CONCEPT BASED SEARCHING AND RANKING . In Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 282-289. DOI: 10.5220/0003334402820289


in Bibtex Style

@conference{webist11,
author={E. Umamaheswari and T. V. Geetha and Ranjani Parthasarathi and Madhan Karky},
title={A MULTILEVEL UNL CONCEPT BASED SEARCHING AND RANKING},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2011},
pages={282-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003334402820289},
isbn={978-989-8425-51-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A MULTILEVEL UNL CONCEPT BASED SEARCHING AND RANKING
SN - 978-989-8425-51-5
AU - Umamaheswari E.
AU - V. Geetha T.
AU - Parthasarathi R.
AU - Karky M.
PY - 2011
SP - 282
EP - 289
DO - 10.5220/0003334402820289