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    政大機構典藏 > 商學院 > 會計學系 > 期刊論文 >  Item 140.119/40035
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/40035


    Title: Data warehouse enhancement: A semantic cube model approach
    Authors: 諶家蘭
    Huang, Shi-Ming;Chou, Tung-Hsiang;Seng, Jia-Lang
    Keywords: Data warehouse;Data cube;Data mart;Object-oriented technology;Semantic cube model
    Date: 2007
    Issue Date: 2010-05-31 00:22:23 (UTC+8)
    Abstract: Many data warehouse systems have been developed recently, yet data warehouse practice is not sufficiently sophisticated for practical usage. Most data warehouse systems have some limitations in terms of flexibility, efficiency, and scalability. In particular, the sizes of these data warehouses are forever growing and becoming overloaded with data, a scenario that leads to difficulties in data maintenance and data analysis. This research focuses on data-information integration between data cubes. This research might contribute to the resolution of two concerns: the problem of redundancy and the problem of data cubes’ independent information. This work presents a semantic cube model, which extends object-oriented technology to data warehouses and which enables users to design the generalization relationship between different cubes. In this regard, this work’s objectives are to improve the performance of query integrity and to reduce data duplication in data warehouse. To deal with the handling of increasing data volume in data warehouses, we discovered important inter-relationships that hold among data cubes, that facilitate information integration, and that prevent the loss of data semantics.
    Relation: Information Sciences,177(11),2238-2254
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.ins.2006.12.022
    DOI: 10.1016/j.ins.2006.12.022
    Appears in Collections:[會計學系] 期刊論文

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