Publications of Jérôme Darmont
J. Darmont, O. Boussaïd, J.C. Ralaivao, K. Aouiche, "An Architecture Framework for Complex Data Warehouses", 7th International Conference on Enterprise Information Systems (ICEIS 05), Miami, USA, May 2005, 370-373; INSTICC, Setúbal, Portugal.
Nowadays, many decision support applications need to exploit data that are not only numerical or symbolic, but also multimedia, multistructure, multisource, multimodal, and/or multiversion. We term such data complex data. Managing and analyzing complex data involves a lot of different issues regarding their structure, storage and processing, and metadata are a key element in all these processes. Such problems have been addressed by classical data warehousing (i.e., applied to "simple" data). However, data warehousing approaches need to be adapted for complex data.
In this paper, we first propose a precise, though open, definition of complex data. Then we present a general architecture framework for warehousing complex data. This architecture heavily relies on metadata and rests on the XML language, which helps storing data, metadata and domain-specific knowledge, and facilitates communication between the various warehousing processes. Finally, we enumerate the main issues in complex data warehousing.
Complex data, Data warehouses, XML warehousing, Performance, Metadata, Knowledge
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