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SOLAP_Frame: A Framework for SOLAP using Heterogeneous Data Sources

Authors:
Tiago Eduardo da Silva
Daniel Farias Batista Leite
Cláudio de Souza Baptista

Keywords: Business Intellignce; GIS; SOLAP.

Abstract:
Business Intelligence (BI) and Geographic Information System (GIS) technologies have been used by several organizations aiming to improve the decision making process. In this context, the term Spatial OLAP (SOLAP) emerged for spatial multidimensional data sources. Nevertheless, it is very complex to integrate heterogeneous data sources into a SOLAP solution. This paper proposes a framework that enables the analysis of multidimensional spatial data from heterogeneous data sources. This goal is accomplished through an implementation of a SOLAP framework that contains interfaces and abstract classes that can be implemented and extended to support new data sources. To validate the proposed ideas, a case study was conducted.

Pages: 78 to 84

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-469-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016