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Authors: Inès Kamoun Fourati ; Mohamed Tmar and Abdelmajid Ben Hamadou

Affiliation: University of Sfax, Tunisia

Keyword(s): Relevance feedback, XML, INEX, Line of descent matrix.

Abstract: Contrarily to classical information retrieval systems, the systems that treat structured documents include the structural dimension through the document and query comparison. Thus, the retrieval of relevant results means the retrieval of document fragments that match the user need rather than the whole document. So, the structure notion should be taken into account during the retrieval process as well as during the reformulation by relevance feedback way. In this paper we propose an approach of query reformulation based on structural relevance feedback. We start from the original query on one hand and the fragments judged as relevant by the user on the other. Structure hints analysis allows us to identify nodes that match the user query and to rebuild it during the relevance feedback step. The main goal of this paper is to show the impact of structural hints in XML query optimization. Some experiments have been undertaken into a dataset provided by INEX (INitiative for the Evaluation of XML retrieval, an evaluation forum that aims at promoting retrieval capabilities on XML documents) to show the effectiveness of our proposals. (More)

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Paper citation in several formats:
Kamoun Fourati, I.; Tmar, M. and Ben Hamadou, A. (2011). HOW INTEGRATE STRUCTURAL DIMENSION IN RELEVANCE FEEDBACK IN XML RETRIEVAL. In Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 577-582. DOI: 10.5220/0003300305770582

@conference{webist11,
author={Inès {Kamoun Fourati}. and Mohamed Tmar. and Abdelmajid {Ben Hamadou}.},
title={HOW INTEGRATE STRUCTURAL DIMENSION IN RELEVANCE FEEDBACK IN XML RETRIEVAL},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST},
year={2011},
pages={577-582},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003300305770582},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST
TI - HOW INTEGRATE STRUCTURAL DIMENSION IN RELEVANCE FEEDBACK IN XML RETRIEVAL
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Kamoun Fourati, I.
AU - Tmar, M.
AU - Ben Hamadou, A.
PY - 2011
SP - 577
EP - 582
DO - 10.5220/0003300305770582
PB - SciTePress

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