Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karen Sauvagnat"'
Publikováno v:
Information Systems. 31:621-635
As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant information units. In this paper, we describe an information retrieval (IR) appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf3978d7ee5fdb3c087c455c642933c
https://doi.org/10.1016/j.is.2005.11.007
https://doi.org/10.1016/j.is.2005.11.007
Publikováno v:
Lecture Notes in Computer Science ISBN: 3540349626
Lecture Notes in Computer Science ISBN: 9783540349624
INEX
Lecture Notes in Computer Science ISBN: 9783540349624
INEX
This paper describes experiments carried out with the XFIRM system in the INEX 2005 framework. The XFIRM system uses a relevance propagation method to answer CO and CAS queries. Runs were submitted to the ad-hoc and relevance feedback tracks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf242177c55dbc2ee349f51b455a4bbf
https://doi.org/10.1007/11766278_7
https://doi.org/10.1007/11766278_7
Publikováno v:
SAC
The aim of this study is to evaluate the impact of context to better identify relevant elements in XML retrieval. Context is represented here by clues on whole document relevance. We represent context according to different points of view: by introdu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92d76d49d78b6dc2a20ded2562372931
https://doi.org/10.1145/1141277.1141540
https://doi.org/10.1145/1141277.1141540
Publikováno v:
Flexible Query Answering Systems ISBN: 9783540346388
FQAS
FQAS
When querying XML collections, users cannot always express their need in a precise way. Systems should therefore support vagueness at both the content and structural level of queries. This paper present a relevance-oriented method for ranking XML com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a1ece794c6940cc14bfa1e9f2bb0c3
https://doi.org/10.1007/11766254_17
https://doi.org/10.1007/11766254_17
Publikováno v:
CIKM
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback. The goal is to express more precisily the user's needs. Some open issues appear when considering semi-structured documents like XML documents.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d14000db4429dd5cad7fedf0ba4dd8
https://doi.org/10.1145/1183614.1183727
https://doi.org/10.1145/1183614.1183727
Autor:
Mohand Boughanem, Karen Sauvagnat
Publikováno v:
Advances in XML Information Retrieval ISBN: 9783540261667
INEX
INEX
This paper describes the evaluation of the XFIRM system in INEX 2004 framework. The XFIRM system uses a relevance propagation method to answer queries composed of content conditions and/or structure conditions. Runs were submitted to the ad-hoc (for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0775cb75addc753e1e659797def42386
https://doi.org/10.1007/11424550_27
https://doi.org/10.1007/11424550_27
Publikováno v:
String Processing and Information Retrieval ISBN: 9783540232100
SPIRE
SPIRE
The issue of information retrieval in XML documents was first investigated by the database community. Recently, the Information Retrieval (IR) community started to investigate the XML search issue. For this purpose, traditional information retrieval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cd77d89d3effe68208ce1cdafa57bb
https://doi.org/10.1007/978-3-540-30213-1_35
https://doi.org/10.1007/978-3-540-30213-1_35