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Authors: Aya Awad 1 ; Maged El-Sayed 2 and Y. El-Sonbaty 1

Affiliations: 1 Arab Academy for Science and Technology & Maritime Transport, Egypt ; 2 Alexandria University, Egypt

Keyword(s): Information Retrieval, Semantic Search, Search Engine, User Intention.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Ontology and the Semantic Web ; Society, e-Business and e-Government ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Documents on the internet are not organized in a way that eases search and retrieval by users using search engines. The user of the search engine is typically overwhelmed by the size of the returned result and does not normally look beyond the first few pages of result. Knowing that the majority of search engines are term-based, this information retrieval problem is caused by two issues: (1) query articulation issue; where the user is not capable of expressing his information need well, and (2) semantic gap issue where the search engine may not be able to retrieve semantically relevant documents. In this paper we introduce a solution that addresses these issues through semantic enrichment and query reformulation. Our solution approximates the user’s intention in order to return better search results. Experiments show significant enhancement in search results over traditional keyword-based search engines’ results and over selected semantic search engines.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Awad, A.; El-Sayed, M. and El-Sonbaty, Y. (2012). APPROXIMATING USER'S INTENTION FOR SEARCH ENGINE QUERIES. In Proceedings of the 8th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8565-08-2; ISSN 2184-3252, SciTePress, pages 422-425. DOI: 10.5220/0003927604220425

@conference{webist12,
author={Aya Awad. and Maged El{-}Sayed. and Y. El{-}Sonbaty.},
title={APPROXIMATING USER'S INTENTION FOR SEARCH ENGINE QUERIES},
booktitle={Proceedings of the 8th International Conference on Web Information Systems and Technologies - WEBIST},
year={2012},
pages={422-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003927604220425},
isbn={978-989-8565-08-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Web Information Systems and Technologies - WEBIST
TI - APPROXIMATING USER'S INTENTION FOR SEARCH ENGINE QUERIES
SN - 978-989-8565-08-2
IS - 2184-3252
AU - Awad, A.
AU - El-Sayed, M.
AU - El-Sonbaty, Y.
PY - 2012
SP - 422
EP - 425
DO - 10.5220/0003927604220425
PB - SciTePress

- Science and Technology Publications, Lda.
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