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Enriching Dimension Hierarchies with Topological Relations to Improve the Development of Spatial Data Warehouse

Authors:
Sana Ezzedine
Sami Yassine Turki
Sami Faiz

Keywords: spatial data warehouse; updating; spatial requirements; decision-making.

Abstract:
The design of a spatial data warehouse depends on operational data, spatial and non spatial requirements in order to support the decision-making process required by final users. It is crucial to consider decision maker requirements in the conceptual level of the construction of a spatial data warehouse. Furthermore, updating a spatial data warehouse and especially the addition of a new user’s requirement after the construction of a spatial data warehouse is a great need for users. In this paper, to overcome this problem, dimension hierarchies will be specified in the Spatial Data Warehouse using topological relationships among spatial objects. Dimension hierarchies added show spatial requirements which are necessary to improve decision-making process. Decision makers thus will be able to achieve their information needs for analysis. Finally, we show the benefits of our approach by providing a case study, which defines an enriched conceptual model of a spatial data warehouse.

Pages: 35 to 40

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-334-6

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014