loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: E. Umamaheswari ; T. V. Geetha ; Ranjani Parthasarathi and Madhan Karky

Affiliation: Anna University, India

ISBN: 978-989-8425-51-5

ISSN: 2184-3252

Keyword(s): CoReS, UNL, Concept relation search and ranking, Query Expansion, Query Translation.

Related Ontology Subjects/Areas/Topics: Internet Technology ; Searching and Browsing ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Services and Web Engineering

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.168.209

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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, ISSN 2184-3252, pages 282-289. DOI: 10.5220/0003334402820289

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.