SgmlV1, France, Analysis, bibRecord, 000057

Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project

Identifieur interne : 000057 ( France/Analysis ); précédent : 000056; suivant : 000058

Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project

Auteurs : Jean-Charles Lamirel [France] ; Shadi Al Shehabi [France] ; Claire Francois [France] ; Xavier Polanco [France]

Source :

Scientometrics [ 0138-9130 ] ; 2004-11-01.

RBID : ISTEX:8C17532EAAC3BBFD1D021DDC2C7BB93C739EDFA2

Abstract

Abstract: This paper present a compound approach for Webometrics based on an extension the self-organizing multimap MultiSOM model. The goal of this new approach is to combine link and domain clustering in order to increase the reliability and the precision of Webometrics studies. The extension proposed for the MultiSOM model is based on a Bayesian network-oriented approach. A first experiment shows that the behaviour of such an extension is coherent with its expected properties for Webometrics. A second experiment is carried out on a representative Web dataset issued from the EISCTES IST project context. In this latter experiment each map represents a particular viewpoint extracted from the Web data description. The obtained maps represented either thematic or link classifications. The experiment shows empirically that the communication between these classifications provides Webometrics with new explaining capabilities.

Url:

https://api.istex.fr/ark:/67375/VQC-D2QGLX83-D/fulltext.pdf

DOI: 10.1023/B:SCIE.0000045119.88828.ce

Affiliations:

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

to stream Istex, to step Corpus: 002422
to stream Istex, to step Curation: 001C56
to stream Istex, to step Checkpoint: 000831
to stream Main, to step Merge: 000911
to stream Main, to step Curation: 000902
to stream Main, to step Exploration: 000902
to stream France, to step Extraction: 000057

Links to Exploration step

ISTEX:8C17532EAAC3BBFD1D021DDC2C7BB93C739EDFA2

Le document en format XML

<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project</title>
<author><name sortKey="Lamirel, Jean Charles" sort="Lamirel, Jean Charles" uniqKey="Lamirel J" first="Jean-Charles" last="Lamirel">Jean-Charles Lamirel</name>
<affiliation><country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="team" n="7">Cortex (Loria)</orgName>
<orgName type="lab">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
<orgName type="EPST">Centre national de la recherche scientifique</orgName>
<orgName type="EPST">Institut national de recherche en informatique et en automatique</orgName>
</affiliation>
</author>
<author><name sortKey="Shehabi, Shadi Al" sort="Shehabi, Shadi Al" uniqKey="Shehabi S" first="Shadi Al" last="Shehabi">Shadi Al Shehabi</name>
</author>
<author><name sortKey="Francois, Claire" sort="Francois, Claire" uniqKey="Francois C" first="Claire" last="Francois">Claire Francois</name>
</author>
<author><name sortKey="Polanco, Xavier" sort="Polanco, Xavier" uniqKey="Polanco X" first="Xavier" last="Polanco">Xavier Polanco</name>
<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="laboratoire" n="5">Institut de l'information scientifique et technique</orgName>
<orgName type="institution">Centre national de la recherche scientifique</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:8C17532EAAC3BBFD1D021DDC2C7BB93C739EDFA2</idno>
<date when="2004" year="2004">2004</date>
<idno type="doi">10.1023/B:SCIE.0000045119.88828.ce</idno>
<idno type="url">https://api.istex.fr/ark:/67375/VQC-D2QGLX83-D/fulltext.pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002422</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002422</idno>
<idno type="wicri:Area/Istex/Curation">001C56</idno>
<idno type="wicri:Area/Istex/Checkpoint">000831</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000831</idno>
<idno type="wicri:doubleKey">0138-9130:2004:Lamirel J:using:a:compound</idno>
<idno type="wicri:Area/Main/Merge">000911</idno>
<idno type="wicri:Area/Main/Curation">000902</idno>
<idno type="wicri:Area/Main/Exploration">000902</idno>
<idno type="wicri:Area/France/Extraction">000057</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project</title>
<author><name sortKey="Lamirel, Jean Charles" sort="Lamirel, Jean Charles" uniqKey="Lamirel J" first="Jean-Charles" last="Lamirel">Jean-Charles Lamirel</name>
<affiliation wicri:level="3"><country xml:lang="fr">France</country>
<wicri:regionArea>LORIA, Vandoeuvre-lès-Nancy Cedex, B.P. 239 54506</wicri:regionArea>
<placeName><region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="team" n="7">Cortex (Loria)</orgName>
<orgName type="lab">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
<orgName type="EPST">Centre national de la recherche scientifique</orgName>
<orgName type="EPST">Institut national de recherche en informatique et en automatique</orgName>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">France</country>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="team" n="7">Cortex (Loria)</orgName>
<orgName type="lab">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
<orgName type="EPST">Centre national de la recherche scientifique</orgName>
<orgName type="EPST">Institut national de recherche en informatique et en automatique</orgName>
</affiliation>
</author>
<author><name sortKey="Shehabi, Shadi Al" sort="Shehabi, Shadi Al" uniqKey="Shehabi S" first="Shadi Al" last="Shehabi">Shadi Al Shehabi</name>
<affiliation wicri:level="3"><country xml:lang="fr">France</country>
<wicri:regionArea>LORIA, Vandoeuvre-lès-Nancy</wicri:regionArea>
<placeName><region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
<settlement type="city">Vandœuvre-lès-Nancy</settlement>
<settlement type="city" wicri:auto="agglo">Nancy</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Francois, Claire" sort="Francois, Claire" uniqKey="Francois C" first="Claire" last="Francois">Claire Francois</name>
<affiliation wicri:level="3"><country xml:lang="fr">France</country>
<wicri:regionArea>URI/INIST-CNRS, Vandoeuvre-lès-Nancy</wicri:regionArea>
<placeName><region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
<settlement type="city">Vandœuvre-lès-Nancy</settlement>
<settlement type="city" wicri:auto="agglo">Nancy</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Polanco, Xavier" sort="Polanco, Xavier" uniqKey="Polanco X" first="Xavier" last="Polanco">Xavier Polanco</name>
<affiliation wicri:level="3"><country xml:lang="fr">France</country>
<wicri:regionArea>URI/INIST-CNRS, Vandoeuvre-lès-Nancy</wicri:regionArea>
<placeName><region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
<settlement type="city">Vandœuvre-lès-Nancy</settlement>
<settlement type="city" wicri:auto="agglo">Nancy</settlement>
</placeName>
<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="laboratoire" n="5">Institut de l'information scientifique et technique</orgName>
<orgName type="institution">Centre national de la recherche scientifique</orgName>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Scientometrics</title>
<title level="j" type="sub">An International Journal for all Quantitative Aspects of the Science of Science, Communication in Science and Science Policy</title>
<title level="j" type="abbrev">Scientometrics</title>
<idno type="ISSN">0138-9130</idno>
<idno type="eISSN">1588-2861</idno>
<imprint><publisher>Kluwer Academic Publishers</publisher>
<pubPlace>Dordrecht</pubPlace>
<date type="published" when="2004-11-01">2004-11-01</date>
<biblScope unit="volume">61</biblScope>
<biblScope unit="issue">3</biblScope>
<biblScope unit="page" from="427">427</biblScope>
<biblScope unit="page" to="441">441</biblScope>
</imprint>
<idno type="ISSN">0138-9130</idno>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0138-9130</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: This paper present a compound approach for Webometrics based on an extension the self-organizing multimap MultiSOM model. The goal of this new approach is to combine link and domain clustering in order to increase the reliability and the precision of Webometrics studies. The extension proposed for the MultiSOM model is based on a Bayesian network-oriented approach. A first experiment shows that the behaviour of such an extension is coherent with its expected properties for Webometrics. A second experiment is carried out on a representative Web dataset issued from the EISCTES IST project context. In this latter experiment each map represents a particular viewpoint extracted from the Web data description. The obtained maps represented either thematic or link classifications. The experiment shows empirically that the communication between these classifications provides Webometrics with new explaining capabilities.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement><li>Nancy</li>
<li>Vandœuvre-lès-Nancy</li>
</settlement>
<orgName><li>Centre national de la recherche scientifique</li>
<li>Cortex (Loria)</li>
<li>Institut de l'information scientifique et technique</li>
<li>Institut national de recherche en informatique et en automatique</li>
<li>Laboratoire lorrain de recherche en informatique et ses applications</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><region name="Grand Est"><name sortKey="Lamirel, Jean Charles" sort="Lamirel, Jean Charles" uniqKey="Lamirel J" first="Jean-Charles" last="Lamirel">Jean-Charles Lamirel</name>
</region>
<name sortKey="Francois, Claire" sort="Francois, Claire" uniqKey="Francois C" first="Claire" last="Francois">Claire Francois</name>
<name sortKey="Lamirel, Jean Charles" sort="Lamirel, Jean Charles" uniqKey="Lamirel J" first="Jean-Charles" last="Lamirel">Jean-Charles Lamirel</name>
<name sortKey="Polanco, Xavier" sort="Polanco, Xavier" uniqKey="Polanco X" first="Xavier" last="Polanco">Xavier Polanco</name>
<name sortKey="Shehabi, Shadi Al" sort="Shehabi, Shadi Al" uniqKey="Shehabi S" first="Shadi Al" last="Shehabi">Shadi Al Shehabi</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Informatique/explor/SgmlV1/Data/France/Analysis

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000057 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000057 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Informatique
   |area=    SgmlV1
   |flux=    France
   |étape=   Analysis
   |type=    RBID
   |clé=     ISTEX:8C17532EAAC3BBFD1D021DDC2C7BB93C739EDFA2
   |texte=   Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project
}}

This area was generated with Dilib version V0.6.33.
Data generation: Mon Jul 1 14:26:08 2019. Site generation: Wed Apr 28 21:40:44 2021

	Serveur d'exploration sur SGML
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur SGML

Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project

Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project

Source :

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri