Essec\Faculty\Model\Contribution {#2216
#_index: "academ_contributions"
#_id: "5038"
#_source: array:26 [
"id" => "5038"
"slug" => "representation-of-aggregation-knowledge-in-olap-systems"
"yearMonth" => "2010-06"
"year" => "2010"
"title" => "Representation of Aggregation Knowledge in OLAP Systems"
"description" => "PRAT, N., COMYN-WATTIAU, I. et AKOKA, J. (2010). Representation of Aggregation Knowledge in OLAP Systems. Dans: <i>18th European Conference on Information Systems (ECIS 2010)</i>. Pretoria: University of Pretoria, pp. 1-12."
"authors" => array:3 [
0 => array:3 [
"name" => "PRAT Nicolas"
"bid" => "B00000434"
"slug" => "prat-nicolas"
]
1 => array:3 [
"name" => "COMYN-WATTIAU Isabelle"
"bid" => "B00000530"
"slug" => "wattiau-isabelle"
]
2 => array:2 [
"name" => "AKOKA Jacky"
"bid" => "B00714200"
]
]
"ouvrage" => "18th European Conference on Information Systems (ECIS 2010)"
"keywords" => array:5 [
0 => "Agrégation"
1 => "Entrepôt de données"
2 => "OLAP"
3 => "Règle de production"
4 => "UML"
]
"updatedAt" => "2021-04-19 17:57:25"
"publicationUrl" => "https://hal.archives-ouvertes.fr/hal-01125780"
"publicationInfo" => array:3 [
"pages" => "1-12"
"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" => "Les entrepôts de données reposent essentiellement sur la modélisation multidimensionnelle. A l'aide d'outils OLAP, les décideurs analysent les données à différents niveaux d'agrégation. Il est donc nécessaire de représenter les connaissances d'agrégation dans les modèles conceptuels multidimensionnels, puis de les traduire dans les modèles logiques et physiques. Cependant, les modèles conceptuels multidimensionnels actuels représentent imparfaitement les connaissances d'agrégation. Afin de prendre en compte les caractéristiques de ces connaissances, nous proposons de les représenter avec des objets (diagrammes de classes UML) et des règles en langage PRR (Production Rule Representation). Nous présentons notre approche et l'illustrons au moyen d'un scénario d'application."
"en" => "Data warehouses are mainly based on multidimensional modeling. Using OLAP tools, decision makers analyze data at different aggregation levels. Therefore, aggregation knowledge should be adequately represented in conceptual multidimensional models, and mapped in subsequent logical and physical models. However, current conceptual multidimensional models poorly represent aggregation knowledge. In order to account for the characteristics of this knowledge, we propose to represent it with objects (UML class diagrams) and rules in Production Rule Representation (PRR) language. We present our approach and illustrate it with an application scenario."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T16:21:43.000Z"
"docTitle" => "Representation of Aggregation Knowledge in OLAP Systems"
"docSurtitle" => "Conference Proceedings"
"authorNames" => "<a href="/cv/prat-nicolas">PRAT Nicolas</a>, <a href="/cv/wattiau-isabelle">COMYN-WATTIAU Isabelle</a>, AKOKA Jacky"
"docDescription" => "<span class="document-property-authors">PRAT Nicolas, COMYN-WATTIAU Isabelle, AKOKA Jacky</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2010</span>"
"keywordList" => "<a href="#">Agrégation</a>, <a href="#">Entrepôt de données</a>, <a href="#">OLAP</a>, <a href="#">Règle de production</a>, <a href="#">UML</a>"
"docPreview" => "<b>Representation of Aggregation Knowledge in OLAP Systems</b><br><span>2010-06 | Conference Proceedings </span>"
"docType" => "research"
"publicationLink" => "<a href="https://hal.archives-ouvertes.fr/hal-01125780" target="_blank">Representation of Aggregation Knowledge in OLAP Systems</a>"
]
+lang: "en"
+"_type": "_doc"
+"_score": 9.269113
+"parent": null
}