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------=_NextPart_01C94648.098B17F0 Content-Location: file:///C:/B1335A75/525_files/master45.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C94648.098B17F0 Content-Location: file:///C:/B1335A75/525_files/master02.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
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------=_NextPart_01C94648.098B17F0 Content-Location: file:///C:/B1335A75/525_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C94648.098B17F0 Content-Location: file:///C:/B1335A75/525_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Slide 1
Coll= oque Facultaire – Un territoire pour se connaître
12 n= ovembre 2008
Vers une autonomie de l’utilisateur dans la = = méthode de conception et de génération d’hypercube de données spatiales.

Direction: Dr. Yvan Bédard
Co-Directions: Dr. Frédéric Hubert et Dr. Thierry Badard
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Plan de la présentation
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1.Mise en contexte =
2.Problématique&= #13;
3.Objectif général
4.Aperçu de solution
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2&= #13;
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=
Spatial OLAP (SOL= AP)
=
=
nUn ensem= ble d’outils permettant l’exploration interactive et facile des données spatiales, temporelles et thématiques = organisées en plusieurs niveaux de granularit&eacu= te; grâce à une série évoluée d’opérateurs d’exploration cartographique, tabulaire et graphique harmonisés.
nMise en contexte
3&= #13;
3DImage1.jpg 3DImage2.j= 3DImage7.j=
= ~4 clicks
= ~3 secondes
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Contexte d’utilisation
nCette technologie est utilisée:
¡pour l’exploration de gr= ands volumes de données…
¡dans le but d̵= 7;en dégager des tendances et d’appuyer le processus décisionnel d’organisations…&= #13;
nissues de domaines applicatifs variés et très différents l’un de l’autre…
¡par des utilisateu= rs ayant peu ou pas de connaissances en informatique
¡
4&= #13;
nMise en contexte
------=_NextPart_01C94648.098B17F0 Content-Location: file:///C:/B1335A75/525_files/slide0132.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Slide 1
Structure de données
=
=
nS’appuie sur une structure de données multidimensionnelles spatiales (hypercube de données spatiales)
n
5&= #13;
nMise en contexte
Source: Trujillo, J., M. Palomar, et al. (2001). "Des= igning Data Warehouses with OO Conceptual Models." Computer 34(12): 66-75.
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Travaux existants=
=
nPlusieurs méthodes et modèles conceptuels pour bases = de données multidimensionnelles
¡Golfarelli 2004, Franconi 2004, Zepeda 2005, Mazon 2007, etc…
nQuelques méthodes et modèles conceptuels pour le domaine des bases de données multidimensionnelles spatiales
¡Malinowski 2004, Bimonte 2005, Sampaio 2006
n
6&= #13;
nMise en contexte
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Constats
=
1.Les méthodes actuelles:
¡résultats difficilement répétables
¡nécessitent des connaissances avancé= es en structure de données multidimensionnelles
¡doivent être dirigées par un analyste/concepteur expérimenté
2.Au meilleur de mes connaissances, il n’existe aucune proposition de méthode couvran= t toutes les étapes et particularité de construction d’un cube de données spatiales
3.Le processus de construction des hypercubes spatiaux est très peu automatisé= .
4.
7&= #13;
nMise en contexte
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Problème général
=
=
<= span style=3D'position:absolute;top:29.5%;left:15.35%;width:82.77%;height:8.25%= '>nAbsence de processus automatisé permettant à un utilisateur de <= /span>construire lui-même son propre hypercube de données spatiales, = et ce, sans l’assistance d’un concepteur.
n
8&= #13;
nProblématiq= ue
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Objectif général
=
=
nOffrir &ag= rave; l’utilisateur d’une technologie SOLAP <= /span>une autonomie complète dans l’expression  formelle de ses propres besoins et dans la  transformation de ces besoins en hypercubes  de données spat= iales, tout en minimisant  l'usage de connaissances propres à la  modélisation de structures de donné= es spatiales multidimensionnelles.<= span lang=3DFR-CA style=3D'font-size:111%;display:none'>
n <= /span>
9&= #13;
nObjectifs
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Id&ea= cute;es générales de solution
=
=
nÉlévation = du niveau d’abstracti= on des modèles
n
nLes modèles doivent devenir centraux aux méthodes employées pour concevoir les hypercubes de données spatiales
n
nGénérateurs d’hypercube de données spatiales
n
n
10&= #13;
nVers une solution&= #8230;
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=
nApproche de développement logiciel visant à placer les = modèles au cœur du proces= sus d’élaboration.
ØEnchainement de transform= ation de modèles gén&eacut= e;raux vers des modèles plus spécifiques, jusqu’au code.
n
Mod&= egrave;le conceptuel
=
Modèle logique
Ingénierie dirigée par les modèles (IDM)
11&= #13;
nVers une solution&= #8230;
Modèle physique
Transformation t1
Transformation t2
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