ONTOLOGY-BASED ADAPTIVE QUERY REFINEMENT

Lefteris Kozanidis, Paraskevi Tzekou, Nikos Zotos, Sofia Stamou, Dimitris Christodoulakis

Abstract

Query refinement is the process of providing Web information seekers with alternative wordings for expressing their information needs. Although alternative query formulations may contribute to the improvement of retrieval results, nevertheless their realization by Web users is intrinsically limited in that alternative query wordings convey explicit information about neither their degree nor their type of correlation to the user-issued queries. Moreover, alternative query formulations are determined based on the semantics of the issued query alone and they do not consider anything about the search intentions of the user issuing that query. In this paper, we introduce a novel query refinement technique which uses a lexical ontology for identifying alternative query formulations that are both informative of the user’s interests and related to the user selected queries. The most innovative feature of our technique is the visualization of the alternative query wordings in a graphical representation form, which conveys explicit information about the refined queries correlation to the user issued requests and which allows the user select which terms to participate in the refinement process. Experimental results demonstrate that our method has a significant potential in improving the user search experience.

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Paper Citation


in Harvard Style

Kozanidis L., Tzekou P., Zotos N., Stamou S. and Christodoulakis D. (2007). ONTOLOGY-BASED ADAPTIVE QUERY REFINEMENT . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-78-8, pages 43-50. DOI: 10.5220/0001267300430050


in Bibtex Style

@conference{webist07,
author={Lefteris Kozanidis and Paraskevi Tzekou and Nikos Zotos and Sofia Stamou and Dimitris Christodoulakis},
title={ONTOLOGY-BASED ADAPTIVE QUERY REFINEMENT},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2007},
pages={43-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001267300430050},
isbn={978-972-8865-78-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - ONTOLOGY-BASED ADAPTIVE QUERY REFINEMENT
SN - 978-972-8865-78-8
AU - Kozanidis L.
AU - Tzekou P.
AU - Zotos N.
AU - Stamou S.
AU - Christodoulakis D.
PY - 2007
SP - 43
EP - 50
DO - 10.5220/0001267300430050