HOW INTEGRATE STRUCTURAL DIMENSION IN RELEVANCE FEEDBACK IN XML RETRIEVAL

Inès Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou

2011

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 577-582. DOI: 10.5220/0003300305770582


in Bibtex Style

@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 - Volume 1: WEBIST,},
year={2011},
pages={577-582},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003300305770582},
isbn={978-989-8425-51-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - HOW INTEGRATE STRUCTURAL DIMENSION IN RELEVANCE FEEDBACK IN XML RETRIEVAL
SN - 978-989-8425-51-5
AU - Kamoun Fourati I.
AU - Tmar M.
AU - Ben Hamadou A.
PY - 2011
SP - 577
EP - 582
DO - 10.5220/0003300305770582