Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "15887"
  #_source: array:26 [
    "id" => "15887"
    "slug" => "15887-data-and-knowledge-engineering-insights-from-forty-years-of-publication"
    "yearMonth" => "2025-11"
    "year" => "2025"
    "title" => "Data and knowledge engineering: Insights from forty years of publication"
    "description" => "AKOKA, J., WATTIAU, I., PRAT, N. et STOREY, V.C. (2025). Data and knowledge engineering: Insights from forty years of publication. <i>Data and Knowledge Engineering</i>, 160(102492)."
    "authors" => array:4 [
      0 => array:3 [
        "name" => "WATTIAU Isabelle"
        "bid" => "B00000530"
        "slug" => "wattiau-isabelle"
      ]
      1 => array:3 [
        "name" => "PRAT Nicolas"
        "bid" => "B00000434"
        "slug" => "prat-nicolas"
      ]
      2 => array:1 [
        "name" => "AKOKA Jacky"
      ]
      3 => array:1 [
        "name" => "STOREY Veda C."
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:15 [
      0 => "Conceptual modeling"
      1 => "Bibliometrics"
      2 => "Data and Knowledge Engineering journal"
      3 => "Intellectual structure"
      4 => "Topic modeling"
      5 => "Research topics and themes"
      6 => "Data and process modeling"
      7 => "Query optimization and processing"
      8 => "Ontologies and knowledge representation"
      9 => "Machine learning"
      10 => "Specialized databases"
      11 => "Data privacy and security"
      12 => "Data integration and concurrency"
      13 => "Reasoning and expert systems"
      14 => "Information extraction and retrieval"
    ]
    "updatedAt" => "2025-08-25 16:49:38"
    "publicationUrl" => "https://doi.org/10.1016/j.datak.2025.102492"
    "publicationInfo" => array:3 [
      "pages" => ""
      "volume" => "160"
      "number" => "102492"
    ]
    "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" => "La revue Data and Knowledge Engineering (DKE), publiée pour la première fois par Elsevier en 1985, existe désormais depuis quarante ans. Cette revue a évolué et mûri pour jouer un rôle important dans l'établissement et le progrès de la recherche sur la modélisation conceptuelle et les domaines connexes. Afin de caractériser avec précision l'histoire et l'état actuel des contributions à la recherche et leur impact, nous analysons ses publications en trois phases, en utilisant des techniques bibliométriques de co-citation, de couplage bibliographique, d'analyse des chemins principaux et de modélisation des thèmes. À l'aide de la bibliométrie descriptive, les résultats de la première phase fournissent une vue d'ensemble des articles qui ont été publiés dans la revue. Elle analyse la dynamique et les tendances des publications, en particulier leurs principaux thèmes et contributions. À l'aide de la cartographie bibliométrique, la deuxième phase identifie la structure intellectuelle de la revue, ses principaux thèmes de recherche et les voies par lesquelles les connaissances sont diffusées entre les articles les plus influents. La troisième phase consiste à comparer DKE à d'autres revues scientifiques qui partagent au moins une partie de son champ d'application. En plus de délimiter les points forts de DKE, nous fournissons des pistes sur la manière dont DKE pourrait continuer à évoluer et à faire progresser les contributions dans ce domaine."
      "en" => "The journal, Data and Knowledge Engineering (DKE), first published by Elsevier in 1985, has now been in existence for forty years. This journal has evolved and matured to play an important role in establishing and progressing research on conceptual modeling and related areas. To accurately characterize the history and current state of the research contributions and their impact, we analyze its publications in three phases, by employing bibliometric techniques of co-citation, bibliographic coupling, main path analysis, and topic modeling. Using descriptive bibliometrics, the results from the first phase provide an overview of the articles that have been published in the journal. It analyzes the dynamics and trend patterns of publications, specifically, their main topics and contributions. Using bibliometric mapping, the second phase identifies the journal's intellectual structure, its primary research themes, and the pathways through which knowledge is disseminated between the most influential articles. The third phase entails a comparison of DKE with other scientific journals that share at least some of its scope. In addition to delineating the strengths of DKE, we provide insights into how DKE might continue to evolve and progress the contributions to the field."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2025-12-05T10:21:50.000Z"
    "docTitle" => "Data and knowledge engineering: Insights from forty years of publication"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/wattiau-isabelle">WATTIAU Isabelle</a>, <a href="/cv/prat-nicolas">PRAT Nicolas</a>, AKOKA Jacky, STOREY Veda C."
    "docDescription" => "<span class="document-property-authors">WATTIAU Isabelle, PRAT Nicolas, AKOKA Jacky, STOREY Veda C.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2025</span>"
    "keywordList" => "<a href="#">Conceptual modeling</a>, <a href="#">Bibliometrics</a>, <a href="#">Data and Knowledge Engineering journal</a>, <a href="#">Intellectual structure</a>, <a href="#">Topic modeling</a>, <a href="#">Research topics and themes</a>, <a href="#">Data and process modeling</a>, <a href="#">Query optimization and processing</a>, <a href="#">Ontologies and knowledge representation</a>, <a href="#">Machine learning</a>, <a href="#">Specialized databases</a>, <a href="#">Data privacy and security</a>, <a href="#">Data integration and concurrency</a>, <a href="#">Reasoning and expert systems</a>, <a href="#">Information extraction and retrieval</a>"
    "docPreview" => "<b>Data and knowledge engineering: Insights from forty years of publication</b><br><span>2025-11 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1016/j.datak.2025.102492" target="_blank">Data and knowledge engineering: Insights from forty years of publication</a>"
  ]
  +lang: "en"
  +"_score": 8.985696
  +"_ignored": array:2 [
    0 => "abstract.en.keyword"
    1 => "abstract.fr.keyword"
  ]
  +"parent": null
}