<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-04639153</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-24T22:09:02+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">A multilayered graph representation of expertise processes</title>
            <title xml:lang="fr">Un graphe multicouche pour la représentation des processus d’expertise</title>
            <author role="aut">
              <persName>
                <forename type="first">Serge</forename>
                <surname>Sonfack Sounchio</surname>
              </persName>
              <idno type="idhal" notation="numeric">1296520</idno>
              <idno type="halauthorid" notation="string">2927432-1296520</idno>
              <idno type="IDREF">https://www.idref.fr/27046008X</idno>
              <affiliation ref="#struct-1202587"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Bernard</forename>
                <surname>Kamsu-Foguem</surname>
              </persName>
              <email type="md5">3deba6211a4bc7f994beff2cf8fe5e38</email>
              <email type="domain">enit.fr</email>
              <idno type="idhal" notation="numeric">960649</idno>
              <idno type="halauthorid" notation="string">864666-960649</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-3617-3184</idno>
              <idno type="IDREF">https://www.idref.fr/083277447</idno>
              <idno type="VIAF">https://viaf.org/viaf/197887233</idno>
              <affiliation ref="#struct-1222660"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Laurent</forename>
                <surname>Geneste</surname>
              </persName>
              <email type="md5">b504d90a63d970e98ef8defcffc9fe0d</email>
              <email type="domain">enit.fr</email>
              <idno type="idhal" notation="numeric">941369</idno>
              <idno type="halauthorid" notation="string">221547-941369</idno>
              <idno type="IDREF">https://www.idref.fr/057725845</idno>
              <idno type="VIAF">https://viaf.org/viaf/173748269</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-2547-482X</idno>
              <affiliation ref="#struct-1222660"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Serge</forename>
                <surname>SONFACK SOUNCHIO</surname>
              </persName>
              <email type="md5">02fb1c6af64bf359a2d762cddb6b9f4e</email>
              <email type="domain">gmail.com</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2024-07-09 11:01:46</date>
              <date type="whenModified">2026-04-18 03:15:19</date>
              <date type="whenReleased">2024-07-09 12:13:01</date>
              <date type="whenProduced">2024-07-01</date>
              <date type="whenEndEmbargoed">2024-07-09</date>
              <ref type="file" target="https://hal.science/hal-04639153v1/document">
                <date notBefore="2024-07-09"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-04639153v1/file/Actes%20Conference%20PFIA.pdf" id="file-4639153-4028277">
                <date notBefore="2024-07-09"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="588986">
                <persName>
                  <forename>Serge</forename>
                  <surname>SONFACK SOUNCHIO</surname>
                </persName>
                <email type="md5">02fb1c6af64bf359a2d762cddb6b9f4e</email>
                <email type="domain">gmail.com</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-04639153</idno>
            <idno type="halUri">https://hal.science/hal-04639153</idno>
            <idno type="halBibtex">sonfacksounchio:hal-04639153</idno>
            <idno type="halRefHtml">&lt;i&gt;10 ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle&lt;/i&gt;, AFIA-Association Française pour l'Intelligence Artificielle, Jul 2024, La Rochelle, France</idno>
            <idno type="halRef">10 ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle, AFIA-Association Française pour l'Intelligence Artificielle, Jul 2024, La Rochelle, France</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0 - Attribution - Non-commercial use<ref corresp="#file-4639153-4028277"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UT3-TOULOUSEINP">Université de Toulouse / Toulouse INP</idno>
            <idno type="stamp" n="LGP-ENIT">Laboratoire Génie de Production</idno>
            <idno type="stamp" n="APIA-2024">APIA-2024</idno>
            <idno type="stamp" n="UTTOP">Université de Technologie Tarbes Occitanie Pyrénées </idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="3">National</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">A multilayered graph representation of expertise processes</title>
                <title xml:lang="fr">Un graphe multicouche pour la représentation des processus d’expertise</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Serge</forename>
                    <surname>Sonfack Sounchio</surname>
                  </persName>
                  <idno type="idhal" notation="numeric">1296520</idno>
                  <idno type="halauthorid" notation="string">2927432-1296520</idno>
                  <idno type="IDREF">https://www.idref.fr/27046008X</idno>
                  <affiliation ref="#struct-1202587"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Bernard</forename>
                    <surname>Kamsu-Foguem</surname>
                  </persName>
                  <email type="md5">3deba6211a4bc7f994beff2cf8fe5e38</email>
                  <email type="domain">enit.fr</email>
                  <idno type="idhal" notation="numeric">960649</idno>
                  <idno type="halauthorid" notation="string">864666-960649</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-3617-3184</idno>
                  <idno type="IDREF">https://www.idref.fr/083277447</idno>
                  <idno type="VIAF">https://viaf.org/viaf/197887233</idno>
                  <affiliation ref="#struct-1222660"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Laurent</forename>
                    <surname>Geneste</surname>
                  </persName>
                  <email type="md5">b504d90a63d970e98ef8defcffc9fe0d</email>
                  <email type="domain">enit.fr</email>
                  <idno type="idhal" notation="numeric">941369</idno>
                  <idno type="halauthorid" notation="string">221547-941369</idno>
                  <idno type="IDREF">https://www.idref.fr/057725845</idno>
                  <idno type="VIAF">https://viaf.org/viaf/173748269</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-2547-482X</idno>
                  <affiliation ref="#struct-1222660"/>
                </author>
              </analytic>
              <monogr>
                <idno type="localRef">APIA-2024</idno>
                <title level="m">Actes de la 10 ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle (APIA)</title>
                <meeting>
                  <title>10 ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle</title>
                  <date type="start">2024-07-01</date>
                  <date type="end">2024-07-03</date>
                  <settlement>La Rochelle</settlement>
                  <country key="FR">France</country>
                </meeting>
                <respStmt>
                  <resp>conferenceOrganizer</resp>
                  <name>AFIA-Association Française pour l'Intelligence Artificielle</name>
                </respStmt>
                <editor>Ghislain Atemezing, Catherine Roussey</editor>
                <imprint>
                  <biblScope unit="serie">Plate-Forme Intelligence Artificielle (PFIA)</biblScope>
                  <date type="datePub">2024-07-01</date>
                </imprint>
              </monogr>
              <ref type="publisher">https://pfia2024.univ-lr.fr/Conf%C3%A9rences/APIA/</ref>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="fr">French</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Expertise process</term>
                <term xml:lang="en">Multilayer graph</term>
                <term xml:lang="en">Knowledge representation</term>
                <term xml:lang="fr">Processus d’expertise</term>
                <term xml:lang="fr">graphe multicouche</term>
                <term xml:lang="fr">représentation des connaissances</term>
              </keywords>
              <classCode scheme="halDomain" n="info">Computer Science [cs]</classCode>
              <classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>An expertise process is an approach used by experts to understand complex problems based on hypotheses. It aids in exploring all possible explanations of a problem and unlocks its understanding. This approach is used for elucidating issues when confronted with limited knowledge regarding a problem and enables experts to solve problems, learn lessons, or make decisions. However, although this process has been standardized at the European level for human experts’ guides, the Expertise Process is still poorly computerized. The artifacts produced during the processes are challenging to understand and reuse because of its complex graph structure called hypotheses exploratory graphs. This study formalizes hypotheses exploratory graphs in a multilayered graphs representation, thus capturing different types of knowledge at each layer and making it easier for humans and machines to use and understand. A use case is carried out to illustrate the proposed layered representation of hypotheses exploratory graphs and how they are queried</p>
            </abstract>
            <abstract xml:lang="fr">
              <p>Les processus d’expertise sont une approche utilisée par les experts pour comprendre des problèmes complexes sur la base d’hypothèses. Il permet d’explorer les explications possibles d’un problème de façon itérative. Cette approche est généralement utilisée pour élucider des problèmes lorsque l’on n’a pas assez de connaissances sur le problème et permet ainsi de les résoudre, d’en tirer des leçons et de prendre des décisions. Cependant, bien que ce processus ait été normalisé au niveau européen pour encadrer les experts dans leurs activités, les processus d’expertise sont encore peu formalisés et les artefacts produits sont difficiles à comprendre et à réutiliser en raison de leur structure en graphes complexes nommés graphes exploratoires d’hypothèses. Cette étude propose une nouvelle formalisation des graphes exploratoires d’hypothèses en graphes multicouche, capitalisant ainsi différents types d’éléments structurants (questions, hypothèses, et connaissances) sur chaque couche et facilitant leur utilisation et leur compréhension par les humains et les machines. Un cas d’utilisation est proposé pour illustrer la représentation en graphe multicouche pour les graphes exploratoiresd’hypothèses et la manière dont ils sont interrogés.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="institution" xml:id="struct-1202587" status="INCOMING">
          <orgName>Robert Bosch</orgName>
          <desc>
            <address>
              <country key="PL"/>
            </address>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-1222660" status="VALID">
          <orgName>Laboratoire Génie de Production</orgName>
          <orgName type="acronym">LGP</orgName>
          <date type="start">2024-01-01</date>
          <desc>
            <address>
              <addrLine>47, avenue d'Azereix BP 1629 65016 Tarbes CEDEX</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-1209537" type="direct"/>
            <relation active="#struct-443875" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-1209537" status="VALID">
          <idno type="ROR">https://ror.org/049we9z90</idno>
          <orgName>Université de Technologie Tarbes Occitanie Pyrénées</orgName>
          <orgName type="acronym">UTTOP</orgName>
          <date type="start">2024-01-01</date>
          <desc>
            <address>
              <addrLine>47, avenue d'Azereix, BP 1629, 65016 Tarbes Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.uttop.fr/fr/index.html</ref>
          </desc>
          <listRelation>
            <relation active="#struct-443875" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-443875" status="VALID">
          <idno type="ROR">https://ror.org/017tgbk05</idno>
          <orgName>Communauté d'universités et établissements de Toulouse</orgName>
          <orgName type="acronym">Comue de Toulouse</orgName>
          <desc>
            <address>
              <addrLine>41 Allée Jules Guesde, 31000 Toulouse</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.univ-toulouse.fr/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>