XML middleware for scalable web mining

Ching-Cheng Lee; Li Zhou

doi:10.1117/12.485638

21 March 2003 XML middleware for scalable web mining

Ching-Cheng Lee, Li Zhou

Proceedings Volume 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V; (2003) https://doi.org/10.1117/12.485638
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

As the Web technology is progressing, XML (Extensible Markup Language) has become a new data exchange format for future Web mining and applications. Various XML middleware have been developed for transferring Web data stored in relational databases to XML documents enabling a uniform data searching technique. However, these developments are not efficient due to their using extra memory and database resources that lead to poor scalability in Web mining development. In this paper, we explore the research on building an efficient XML middleware for large-scale Web mining applications. Our approach is that if the XML structure can be properly embedded in the creation of relational content during XML middleware table construction, the data in the relational database could be retrieved with minimum amount of memory and database resources. The results of our approach will be analyzed and comparisons with related research will be made.

Citation Download Citation

Ching-Cheng Lee and Li Zhou "XML middleware for scalable web mining", Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); https://doi.org/10.1117/12.485638

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