Elaboration d'entrep\^ots de donn\'ees complexes
Olivier Teste (IRIT)

TL;DR
This paper introduces an object-oriented data warehouse model that supports complex, temporal, and summarized data, enhancing decision support systems with detailed evolution tracking and flexible schema design.
Contribution
It proposes a novel object-oriented data warehouse model integrating warehouse objects, environment, and classes, with functions for structure definition and hierarchy organization.
Findings
Supports detailed temporal evolution of data objects
Provides flexible schema with temporal granularities
Includes functions for warehouse structure and hierarchy management
Abstract
In this paper, we study the data warehouse modelling used in decision support systems. We provide an object-oriented data warehouse model allowing data warehouse description as a central repository of relevant, complex and temporal data. Our model integrates three concepts such as warehouse object, environment and warehouse class. Each warehouse object is composed of one current state, several past states (modelling its detailed evolutions) and several archive states (modelling its evolutions within a summarised form). The environment concept defines temporal parts in the data warehouse schema with significant granularities (attribute, class, graph). Finally, we provide five functions aiming at defining the data warehouse structures and two functions allowing the warehouse class inheritance hierarchy organisation.
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Taxonomy
TopicsAdvanced Database Systems and Queries · Data Mining Algorithms and Applications · Data Management and Algorithms
