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    Conceptual and systematic design approach for XML document warehouses

    Access Status
    Fulltext not available
    Authors
    Nassis, Vicky
    Rajugan, Rajagopal
    Dillon, Tharam S.
    Rahayau, Wenny
    Date
    2008
    Type
    Book Chapter
    
    Metadata
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    Citation
    Nassis, Vicky and Rajugan, Rajagopal and Dillon, Tharam and Rahayau, Wenny. 2008. Conceptual and systematic design approach for XML document warehouses, in John Wang (ed), Data warehousing and mining: concepts, methodologies, tools and applications. pp. 485-508. New York, USA: Information Science Reference.
    Source Title
    Data warehousing and mining: concepts, methodologies, tools and applications
    ISBN
    9781599049519
    Faculty
    Curtin Business School
    The Centre for Extended Enterprises and Business Intelligence (CEEBI)
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/10735
    Collection
    • Curtin Research Publications
    Abstract

    EXtensible Markup Language (XML) has emerged as the dominant standard in describing and exchanging data among heterogeneous data sources. The increasing presence of large volumes of data appearing creates the need to investigate XML Document Warehouses as a means of handling the data. In this paper our focus is twofold. First we utulise Object Oriented (OO) concepts to develop and propose a conceptual design formalism to build meaningful XML Document Warehouses (XDW). This includres: (1) XML (warehouse) repository (xFACT) using OO concepts followed by the transformation of XML Schema constructs and (2) Conceptual Virtual Dimensions (VDims) using Conceptual views (Rajugan, Chang, Dillon and Feng, 2003, 2004). Secondly we address several important outstanding issues related to our proposed design of an XML Document Warehouse.Specifically we note that the xFACT portion is now a complex structure, involving several entities and relationships as opposed to being a simple FACT table as was the case in relational data warehouses, and the notion of Virtual dimensions (VDims) has considerably greater complexity.

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