Essec\Faculty\Model\Contribution {#6196
  #_index: "academ_contributions"
  #_id: "1102"
  #_source: array:26 [
    "id" => "1102"
    "slug" => "entity-relationship-and-object-oriented-model-automatic-clustering"
    "yearMonth" => "1996-01"
    "year" => "1996"
    "title" => "Entity-relationship and Object-oriented Model Automatic Clustering"
    "description" => "AKOKA, J. et COMYN-WATTIAU, I. (1996). Entity-relationship and Object-oriented Model Automatic Clustering. <i>Data and Knowledge Engineering</i>, pp. 87-117."
    "authors" => array:2 [
      0 => array:2 [
        "name" => "AKOKA Jacky"
        "bid" => "B00714200"
      ]
      1 => array:3 [
        "name" => "COMYN-WATTIAU Isabelle"
        "bid" => "B00000530"
        "slug" => "wattiau-isabelle"
      ]
    ]
    "ouvrage" => ""
    "keywords" => []
    "updatedAt" => "2020-12-17 17:55:06"
    "publicationUrl" => null
    "publicationInfo" => array:3 [
      "pages" => "87-117"
      "volume" => null
      "number" => null
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "Cet article décrit une automatisation de la classification de schémas conceptuels par le moyen de distances sémantiques et l'utilisation d'un algorithme de classification automatique. Trois distances (visuelle, hiérarchique et cohésive) sont définies pour le modèle entité-relation. Pour les modèles objets, la classification est définie selon les caractéristiques de structure, de sémantique et de communication des objets."
      "en" => "This paper describes an automatization of the clustering of conceptual diagrams through the definition of semantic distances between concepts, and through the use of a clustering algorithm. For entity-relationship clustering, we define three different distances (visual, hierarchical and cohesive), depending on the semantic richness of the model. Object model clustering is based on the structural, semantic and communicational characteristics of objects."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-04-16T12:22:03.000Z"
    "docTitle" => "Entity-relationship and Object-oriented Model Automatic Clustering"
    "docSurtitle" => "Articles"
    "authorNames" => "AKOKA Jacky, <a href="/cv/wattiau-isabelle">COMYN-WATTIAU Isabelle</a>"
    "docDescription" => "<span class="document-property-authors">AKOKA Jacky, COMYN-WATTIAU Isabelle</span><br><span class="document-property-authors_fields">Systèmes d’Information, Sciences de la Décision et Statistiques</span> | <span class="document-property-year">1996</span>"
    "keywordList" => ""
    "docPreview" => "<b>Entity-relationship and Object-oriented Model Automatic Clustering</b><br><span>1996-01 | Articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="#" target="_blank">Entity-relationship and Object-oriented Model Automatic Clustering</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 8.77047
  +"parent": null
}