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Published in:
2011 | OriginalPaper | Chapter
Research and Application of Hybrid-Driven Data Warehouse Modeling Method
Authors : Junliang Xu, Boyi Xu, Hongming Cai
Published in: Knowledge Engineering and Management
Publisher: Springer Berlin Heidelberg
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In order to solve the problem of hardly keeping good performance on data presentation and usability of the data warehouse, a hybrid-driven data warehouse modeling method is proposed based on ontology. Firstly, a data-driven method is established using ontology to define the potential facts and dimensions. Furthermore, a demand-driven method is proposed based on the analysis of business process and specific business requirement to clear the fact and dimensions. Finally, with the analysis of medical domain and the specific business requirement, a data warehouse modeling about medical domain and data mining are used as a case study to verify the correctness and feasibility of the method. The result shows that the method can meet the medical domain requirements of data mining and provides a valuable reference to presenting data.