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Authors: Nihar Sharma and Vasudeva Varma

Affiliation: SIEL (LTRC) and International Institute of Information Technology, India

ISBN: 978-989-8425-28-7

Keyword(s): Query Expansion, Wikipedia link Graph, Thesaurus, Enterprise Search, Information Retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: We present a phrase based query expansion (QE) technique for enterprise search using a domain independent concept thesaurus constructed from Wikipedia link structure. Our approach analyzes article and category link information for deriving sets of related concepts for building up the thesaurus. In addition, we build a vocabulary set containing natural word order and usage which semantically represent concepts. We extract query-representational concepts from vocabulary set with a three layered approach. Concept Thesaurus then yields related concepts for expanding a query. Evaluation on TRECENT 2007 data shows an impressive 9 percent increase in recall for fifty queries. In addition to we also observed that our implementation improves precision at top k results by 0.7, 1, 6 and 9 percent for top 10, top 20, top 50 and top 100 search results respectively, thus demonstrating the promise that Wikipedia based thesaurus holds in domain specific search.

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Paper citation in several formats:
Sharma, N. and Varma, V. (2010). QUERY PROCESSING FOR ENTERPRISE SEARCH WITH WIKIPEDIA LINK STRUCTURE .In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 243-249. DOI: 10.5220/0003093702430249

@conference{kdir10,
author={Nihar Sharma. and Vasudeva Varma.},
title={QUERY PROCESSING FOR ENTERPRISE SEARCH WITH WIKIPEDIA LINK STRUCTURE },
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={243-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003093702430249},
isbn={978-989-8425-28-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - QUERY PROCESSING FOR ENTERPRISE SEARCH WITH WIKIPEDIA LINK STRUCTURE
SN - 978-989-8425-28-7
AU - Sharma, N.
AU - Varma, V.
PY - 2010
SP - 243
EP - 249
DO - 10.5220/0003093702430249

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