Mod\'elisation et extraction de donn\'ees pour un entrep\^ot objet

TL;DR

This paper introduces an object-oriented data warehouse model with temporal filtering and schema mapping, enabling effective management of complex, time-variant data for data warehouses.

Contribution

It presents the warehouse class concept, extending class models with temporal filters, archive filters, and a mapping function for data schema definition.

Findings

Supports static and dynamic data properties

Enables relevant data change tracking

Uses a behaviour extraction based on the use-matrix

Abstract

This paper describes an object-oriented model for designing complex and time-variant data warehouse data. The main contribution is the warehouse class concept, which extends the class concept by temporal and archive filters as well as a mapping function. Filters allow the keeping of relevant data changes whereas the mapping function defines the warehouse class schema from a global data source schema. The approach take into account static properties as well as dynamic properties. The behaviour extraction is based on the use-matrix concept.