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Information Retrieval, Document and Semantic Web

Recherche d’information, document et web sémantique




RIDoWS - ISSN 2516-3280 - © ISTE Ltd

Aims and scope

Objectifs de la revue

The diversity in forms of documents (multimedia, multilingual, with or without a structure) and in their uses encourages different communities to mingle more and more.

 

Information Retrieval, Document and Semantic Web is a meeting point for these scientific or industrial communities who are interested in information research, the semantic web, the analysis of documents (texts, images, sounds, videos, etc.) or in the collection of documents.

La multiplicité des formes de documents (multimédia, multilingue, structuré ou non) et des usages favorise de plus en plus un brassage entre différentes communautés.


Recherche d’information, document et web sémantique est un point de rencontre pour ces communautés scientifiques ou industrielles qui s’intéressent à la recherche d’information, au web sémantique, à l’analyse de documents (textes, images, sons, vidéos...) ou à la collection de documents.

Journal issues

2017

Volume 17- 1

Issue 1

Recent articles

Keyword Representations in Semantic Vector Space: a Keyword Assignment Method for Automatic Document Indexing

With the extremely rapid growth of the amount of digital documents in our societies, automatic keyword indexing has become a central research issue in information retrieval and document management. Several scientific (...)


Document vector embeddings for bibliographic records indexing

This article presents the eXenSa contribution to the 2016 DEFT shared task. The proposed task consists in indexing bibliographic records with keywords chosen by professional indexers. We propose a statistical approach (...)


Automatic indexing of scientific papers Presentation and results of DEFT 2016 text mining challenge

This paper presents the 2016 edition of the DEFT text mining challenge. This edition adresses the keyword-based indexing of scientific papers with the aim of simulating a professional indexer. The corpus is composed of (...)


A graph-based ranking approach for indexing in specialised domains

This article presents the participation of the TALN group at LINA to the défi fouille de textes (DEFT) 2016. Developed specifically for automatic keyphrase annotation, we propose a new method, TopicCoRank, extracting the (...)


Notes about the Computational Journalism workshop 2017

This short paper gives an overview of the presentations and discussions held during the "Computational Journalism" workshop. This workshop was proposed by Laurent Amsaleg (CNRS, IRISA), Vincent Claveau (CNRS, IRISA) and (...)


Editorial Board


Editor in Chief

Vincent CLAVEAU
IRISA-CNRS, Rennes
vincent.claveau@irisa.fr


Co-Editors

Hervé BREDIN
CNRS-LIMSI
bredin@limsi.fr

Catherine FARON-ZUCKER
aron@i3s.unice.fr
Université de Nice Sophia Antipolis
Laboratoire I3S

Karen PINEL-SAUVAGNAT
IRIT – Université Paul Sabatier
sauvagnat@irit.fr

Haïfa ZARGAYOUNA
LIPN – Université Paris 13
haifa.zargayouna@univ-paris13.fr
 


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