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Conceptual and Systematic Design Approach for XML Document Warehouses

Conceptual and Systematic Design Approach for XML Document Warehouses

Vicky Nassis, Rajugan Rajagopalapillai, Tharam S. Dillon, Wenny Rahayu
Copyright: © 2005 |Volume: 1 |Issue: 3 |Pages: 25
ISSN: 1548-3924|EISSN: 1548-3932|ISSN: 1548-3924|EISBN13: 9781615202157|EISSN: 1548-3924|DOI: 10.4018/jdwm.2005070104
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MLA

Nassis, Vicky, et al. "Conceptual and Systematic Design Approach for XML Document Warehouses." IJDWM vol.1, no.3 2005: pp.63-87. http://doi.org/10.4018/jdwm.2005070104

APA

Nassis, V., Rajagopalapillai, R., Dillon, T. S., & Rahayu, W. (2005). Conceptual and Systematic Design Approach for XML Document Warehouses. International Journal of Data Warehousing and Mining (IJDWM), 1(3), 63-87. http://doi.org/10.4018/jdwm.2005070104

Chicago

Nassis, Vicky, et al. "Conceptual and Systematic Design Approach for XML Document Warehouses," International Journal of Data Warehousing and Mining (IJDWM) 1, no.3: 63-87. http://doi.org/10.4018/jdwm.2005070104

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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 utilise Object Oriented (OO) concepts to develop and propose a conceptual design formalism to build meaningful XML Document Warehouses (XDW). This includes: (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, & 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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