Collaborative OLAP with Tag Clouds: Web 2.0 OLAP Formalism and Experimental Evaluation [r-libre/199]

Aouiche, Kamel; Lemire, Daniel et Godin, Robert (2008). Collaborative OLAP with Tag Clouds: Web 2.0 OLAP Formalism and Experimental Evaluation. Dans Proceedings of WEBIST 2008. Portugal : Institute for Systems and Technologies of Information, Control and Communication.

Fichier(s) associé(s) à ce document :

PDF - 0710-8.2156

Télécharger

Catégorie de document :	Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	Increasingly, business projects are ephemeral. New Business Intelligence tools must support ad-lib data sources and quick perusal. Meanwhile, tag clouds are a popular community-driven visualization technique. Hence, we investigate tag-cloud views with support for OLAP operations such as roll-ups, slices, dices, clustering, and drill-downs. As a case study, we implemented an application where users can upload data and immediately navigate through its ad hoc dimensions. To support social networking, views can be easily shared and embedded in other Web sites. Algorithmically, our tag-cloud views are approximate range top-k queries over spontaneous data cubes. We present experimental evidence that iceberg cuboids provide adequate online approximations. We benchmark several browser-oblivious tag-cloud layout optimizations.
Déposant:	Lemire, Daniel
Responsable :	Daniel Lemire
Dépôt :	25 sept. 2008
Dernière modification :	16 juill. 2015 00:47

Actions (connexion requise)

RÉVISER