A UML & Spatial OCL based Approach for Handling Quality Issues in SOLAP Systems

Kamal Boulil, Sandro Bimonte, Francois Pinet

2012

Abstract

Spatial Data warehouses and Spatial OLAP systems are Business Intelligence technologies allowing efficient and interactive analysis of large geo-referenced datasets. In such a kind of systems the goodness of analysis depends on: the warehoused data quality, how aggregations are performed, and how warehoused data are explored. In this paper, we propose a framework based on a UML profile and OCL-defined integrity constraints to grant quality in the whole SOLAP system. We also propose an automatic implementation in a classical ROLAP architecture to validate our proposal.

References

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Paper Citation


in Harvard Style

Boulil K., Bimonte S. and Pinet F. (2012). A UML & Spatial OCL based Approach for Handling Quality Issues in SOLAP Systems . In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 99-104. DOI: 10.5220/0003967100990104


in Bibtex Style

@conference{iceis12,
author={Kamal Boulil and Sandro Bimonte and Francois Pinet},
title={A UML & Spatial OCL based Approach for Handling Quality Issues in SOLAP Systems},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003967100990104},
isbn={978-989-8565-10-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A UML & Spatial OCL based Approach for Handling Quality Issues in SOLAP Systems
SN - 978-989-8565-10-5
AU - Boulil K.
AU - Bimonte S.
AU - Pinet F.
PY - 2012
SP - 99
EP - 104
DO - 10.5220/0003967100990104