Web Data Warehousing Convergence: From Schematic to Systematic

Web Data Warehousing Convergence: From Schematic to Systematic

D. Xuan Le (La Trobe University, Australia), J. Wenny Rahayu (La Trobe University, Australia) and David Taniar (Monash University, Australia)
DOI: 10.4018/jitwe.2006100105
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Abstract

This article proposes a data warehouse integration technique that combines data and documents from different underlying documents and database design approaches. The well-defined and structured data such as relational, object-oriented and object relational data, semi-structured data such as XML, and unstructured data such as HTML documents are integrated into a Web data warehouse system. The user specified requirements and data sources are combined to assist with the definitions of the hierarchical structures, which serve specific requirements and represent a certain type of data semantics using object-oriented features including inheritance, aggregation, association, and collection. A conceptual integrated data warehouse model is then specified based on a combination of user requirements and data source structure, which creates the need for a logical integrated data warehouse model. A case study is then developed into a prototype in a Web-based environment that enables the evaluation. The evaluation of the proposed integration Web data warehouse methodology includes the verification of correctness of the integrated data, and the overall benefits of utilizing this proposed integration technique.

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