Abstract | ||
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Recent research works propose using Object-Oriented OO approaches, such as UML to model data warehouses. This paper overviews these recent OO techniques, describing the facts and different analysis dimensions of the data. The authors propose a tutorial of the Object Constraint Language OCL and show how this language can be used to specify constraints in OO-based models of data warehouses. Previously, OCL has been only applied to describe constraints in software applications and transactional databases. As such, the authors demonstrate in this paper how to use OCL to represent the different types of data warehouse constraints. This paper helps researchers working in the fields of business intelligence and decision support systems, who wish to learn about the major possibilities that OCL offer in the context of data warehouses. The authors also provide general information about the possible types of implementation of multi-dimensional models and their constraints. |
Year | DOI | Venue |
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2011 | 10.4018/jtd.2011070104 | IJTD |
Keywords | Field | DocType |
data warehouses,data warehouse,model constraints,object constraint language ocl,model data warehouse,data warehouse constraint,recent oo technique,different type,different analysis dimension,recent research work,object-oriented oo approach,ocl offer | Data warehouse,Data modeling,Programming language,Unified Modeling Language,Computer science,Decision support system,Data type,Software,Object Constraint Language,Business intelligence | Journal |
Volume | Issue | Citations |
2 | 3 | 0 |
PageRank | References | Authors |
0.34 | 19 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
François Pinet | 1 | 137 | 19.82 |
Myoung-Ah Kang | 2 | 47 | 9.77 |
Kamal Boulil | 3 | 41 | 6.83 |
Sandro Bimonte | 4 | 236 | 44.43 |
Gil De Sousa | 5 | 15 | 2.82 |
Catherine Roussey | 6 | 77 | 20.77 |
Michel Schneider | 7 | 1 | 0.69 |