Essec\Faculty\Model\Contribution {#6196
  #_index: "academ_contributions"
  #_id: "4583"
  #_source: array:26 [
    "id" => "4583"
    "slug" => "evaluating-and-aggregating-data-believability-across-quality-sub-dimensions-and-data-lineage"
    "yearMonth" => "2007-12"
    "year" => "2007"
    "title" => "Evaluating and Aggregating Data Believability across Quality Sub-dimensions and Data Lineage"
    "description" => "PRAT, N. et MADNICK, S. (2007). Evaluating and Aggregating Data Believability across Quality Sub-dimensions and Data Lineage. Dans: <i>Proceedings of the 17th International Workshop on Information Technologies and Systems (WITS 2007)</i>. Montreal:  Financial Management Association (FMA), pp. 170-176."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "PRAT Nicolas"
        "bid" => "B00000434"
        "slug" => "prat-nicolas"
      ]
      1 => array:1 [
        "name" => "MADNICK S."
      ]
    ]
    "ouvrage" => "Proceedings of the 17th International Workshop on Information Technologies and Systems (WITS 2007)"
    "keywords" => array:3 [
      0 => "Opérateurs d'agrégation"
      1 => "Provenance"
      2 => "Qualité des données"
    ]
    "updatedAt" => "2021-04-19 17:57:25"
    "publicationUrl" => "http://papers.ssrn.com/abstract=1075722"
    "publicationInfo" => array:3 [
      "pages" => "170-176"
      "volume" => null
      "number" => null
    ]
    "type" => array:2 [
      "fr" => "Actes d'une conférence"
      "en" => "Conference Proceedings"
    ]
    "support_type" => array:2 [
      "fr" => "Editeur"
      "en" => "Publisher"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "La qualité des données est cruciale pour viser l'excellence opérationnelle et permettre de prendre des décisions sur des bases saines. Cet article se concentre sur la crédibilité, un aspect majeur de la qualité des données. Notre approche se fonde sur la provenance (lignée) des données. Nous présentons les principaux concepts de notre modèle pour la représentation et le stockage de la provenance des données, ainsi qu'une ontologie des sous-dimensions de la crédibilité des données. Nous utilisons alors les opérateurs d'agrégation pour calculer la crédibilité le long (1) des sous-dimensions de la crédibilité et (2) de la provenance des données."
      "en" => "Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. Our approach is based on the provenance (lineage) of data. We present the main concepts of our model for representing and storing data provenance, and an ontology of the sub-dimensions of data believability. We then use aggregation operators to compute believability across the sub-dimensions of data believability and the provenance of data."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-04-20T08:21:45.000Z"
    "docTitle" => "Evaluating and Aggregating Data Believability across Quality Sub-dimensions and Data Lineage"
    "docSurtitle" => "Actes d'une conférence"
    "authorNames" => "<a href="/cv/prat-nicolas">PRAT Nicolas</a>, MADNICK S."
    "docDescription" => "<span class="document-property-authors">PRAT Nicolas, MADNICK S.</span><br><span class="document-property-authors_fields">Systèmes d’Information, Sciences de la Décision et Statistiques</span> | <span class="document-property-year">2007</span>"
    "keywordList" => "<a href="#">Opérateurs d'agrégation</a>, <a href="#">Provenance</a>, <a href="#">Qualité des données</a>"
    "docPreview" => "<b>Evaluating and Aggregating Data Believability across Quality Sub-dimensions and Data Lineage</b><br><span>2007-12 | Actes d'une conférence </span>"
    "docType" => "research"
    "publicationLink" => "<a href="http://papers.ssrn.com/abstract=1075722" target="_blank">Evaluating and Aggregating Data Believability across Quality Sub-dimensions and Data Lineage</a>"
  ]
  +lang: "fr"
  +"_type": "_doc"
  +"_score": 9.228572
  +"parent": null
}