Structural Relevance Feedback in XML Retrieval

Authors:
Inès Kamoun Fourati;Mohamed Tmar;Abdelmajid Ben Hamadou
Affiliations:
Multimedia Information systems and Advanced Computing Laboratory, High Institute of Computer Science and Multimedia, University of Sfax, Sfax, Tunisia;Multimedia Information systems and Advanced Computing Laboratory, High Institute of Computer Science and Multimedia, University of Sfax, Sfax, Tunisia;Multimedia Information systems and Advanced Computing Laboratory, High Institute of Computer Science and Multimedia, University of Sfax, Sfax, Tunisia
Venue:
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Year:
2009

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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. 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 to show the effectiveness of our proposals.