Bibtex de la publication

@InProceedings{ HlPi2006.1,
author = {Hlaoua, Lobna and Pinel-Sauvagnat, Karen},
title = "{Structure-Oriented Relevance Feedback in XML Retrieval (regular paper)}",
booktitle = "{International Conference on Multidisciplinary Sciences & Technologies (InSciT), Merida, Espagne, 25/10/2006-28/10/2006}",
editor = {Guerrero-Note, Vicente P.},
year = {2006},
month = {octobre},
publisher = {Open Institute of Knowledge},
address = {},
pages = {99--103},
language = {anglais},
keywords = {SIGRI, Relevance Feedback, Structure, XML Retrieval},
note = {Taux d'acceptation non communiqué},
abstract = {Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback. The goal is to express more precisely the user's needs. Some open issues appear when considering semi-structured documents like XML documents. Most of the RF approaches proposed in XML retrieval are simple adaptations of traditional RF to the new granularity of information. They enrich queries by adding terms extracted from relevant elements instead of terms extracted from whole documents. In this paper we show that we can also apply relevance feedback using structural constraints. We propose a new approach that is able to extend the initial query by adding a generative structure. This approach is applied to unstructured queries. Experiments are carried out with the INEX campaign and results show the interest of our method.}