Bibtex de la publication

@InProceedings{ HlBoPi2007.5,
author = {Hlaoua, Lobna and Boughanem, Mohand and Pinel-Sauvagnat, Karen},
title = "{Combination of Evidences in Relevance Feedback for XML Retrieval (short paper)}",
booktitle = "{Conference on Information and Knowledge Management (CIKM), Lisbonne, Portugal, 06/11/2007-09/11/2007}",
year = {2007},
month = {novembre},
publisher = {ACM Press},
address = {},
pages = {893--896},
language = {anglais},
URL = {,%20},
keywords = {Relevance Feedback, Structure, Context, Combined evidences, XML Retrieval ,SIGRI},
note = {TauxAcceptation : (t=512, l=86, c=49), (t=26.3%, l=17%, c=9.5%)},
abstract = {The main objective in XML Retrieval is to select the relevant elements of XML document instead of the whole document. Many open issues appear when considering Relevance Feedback (RF) in XML documents. They are mainly related to the form of XML documents, which mix content and structure information and to the new information granularity. Most of the RF approaches proposed in XML retrieval are simple adaptation 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, an new flexible method of relevance feedback using two sources of evidence is described. We propose to use the context criterion to select terms to extend the initial query and to use generative structures to express structural constraints. Both approaches are applied in different combined forms. Experiments are carried out with the INEX evaluation campaign and results showed the effectiveness of our approach.}