An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses

Marie-Aude Aufaure, Alfredo Cuzzocrea, Cécile Favre, Patrick Marcel and Rokia Missaoui
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Marie-Aude Aufaure: MAS Laboratory, Ecole Centrale Paris, Châtenay-Malabry, France
Alfredo Cuzzocrea: ICAR-CNR, University of Calabria, Cosenza, Italy
Cécile Favre: Department of Computer Science, Lumière University Lyon 2, Bron, France
Patrick Marcel: Department of Computer Science, University of Tours, Tours, France
Rokia Missaoui: Department of Computer Science and Engineering, University of Quebec in Outaouais, Gatineau, QC, Canada

International Journal of Data Warehousing and Mining (IJDWM), 2013, vol. 9, issue 2, 89-109

Abstract: In this vision paper, the authors discuss models and techniques for integrating, processing and querying data, information and knowledge within data warehouses in a user-centric manner. The user-centric emphasis allows us to achieve a number of clear advantages with respect to classical data warehouse architectures, whose most relevant ones are the following: (i) a unified and meaningful representation of multidimensional data and knowledge patterns throughout the data warehouse layers (i.e., loading, storage, metadata, etc); (ii) advanced query mechanisms and guidance that are capable of extracting targeted information and knowledge by means of innovative information retrieval and data mining techniques. Following this main framework, the authors first outline the importance of knowledge representation and management in data warehouses, where knowledge is expressed by existing ontology or patterns discovered from data. Then, the authors propose a user-centric architecture for OLAP query processing, which is the typical applicative interface to data warehouse systems. Finally, the authors propose insights towards cooperative query answering that make use of knowledge management principles and exploit the peculiarities of data warehouses (e.g., multidimensionality, multi-resolution, and so forth).

Date: 2013
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