InforLorV4, Main, Merge, bibRecord, 008536

METIORE: A Publications Reference for the Adaptive Hypermedia Community

Identifieur interne : 008536 ( Main/Merge ); précédent : 008535; suivant : 008537

METIORE: A Publications Reference for the Adaptive Hypermedia Community

Auteurs : David Bueno [France] ; Ricardo Conejo [France] ; Cristina Carmona [France] ; Amos David [France]

Source :

RBID : Hal:inria-00100837

English descriptors

mix :
- adaptive hypermedia, base de données, besoins en information, database, hypermedia adapti, information needs, moteur de recherche, objectifs, objectives, personalisation, personalization, queries, requêtes, retrieval system, search engines, système de recherche d'information, évaluations.

Abstract

The Web is one of the most powerful sources of information about any topic. However its disorganization makes it difficult to find even existing. Look for scientific literature is also a difficult task. It's needed to know some places that links to the source of information, and in the best case they point to conferences proceedings. If this is the case the user is not able to make queries about the available documents and must check them one by one. In this paper we propose our system METIORE as a source of information for the Adaptive Hypermedia community. The idea is to keep together all the publications on this research area and provide a powerful tool to find papers or people working in the field. METIORE is a Personalized Information Retrieval system that keeps a user model based on objectives

Url:

https://hal.inria.fr/inria-00100837

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 003008
to stream Hal, to step Curation: 003008
to stream Hal, to step Checkpoint: 005712

Links to Exploration step

Hal:inria-00100837

Le document en format XML

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<orgName type="acronym">INPL</orgName>
<date type="end">2011-12-31</date>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>adaptive hypermedia</term>
<term>base de données</term>
<term>besoins en information</term>
<term>database</term>
<term>hypermedia adapti</term>
<term>information needs</term>
<term>moteur de recherche</term>
<term>objectifs</term>
<term>objectives</term>
<term>personalisation</term>
<term>personalization</term>
<term>queries</term>
<term>requêtes</term>
<term>retrieval system</term>
<term>search engines</term>
<term>système de recherche d'information</term>
<term>évaluations</term>
</keywords>
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<front><div type="abstract" xml:lang="en">The Web is one of the most powerful sources of information about any topic. However its disorganization makes it difficult to find even existing. Look for scientific literature is also a difficult task. It's needed to know some places that links to the source of information, and in the best case they point to conferences proceedings. If this is the case the user is not able to make queries about the available documents and must check them one by one. In this paper we propose our system METIORE as a source of information for the Adaptive Hypermedia community. The idea is to keep together all the publications on this research area and provide a powerful tool to find papers or people working in the field. METIORE is a Personalized Information Retrieval system that keeps a user model based on objectives</div>
</front>
</TEI>
</record>

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METIORE: A Publications Reference for the Adaptive Hypermedia Community

METIORE: A Publications Reference for the Adaptive Hypermedia Community

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