Abstract
The lack of seamless data interchange and efficient data analysis hinders the formation of an effective information infrastructure that serves as the platform for data interchange across heterogeneous database systems. Information infrastructure has become an emerging platform to enable business partners, customers and employees of enterprises to access and interchange corporate data from dispersed locations all over the world. In general, information infrastructure is a browser-based gateway that allows users to gather, share, and disseminate data through Internet easily. This paper proposes the design and implementation of an information infrastructure embracing the emerging eXtensible Markup Language (XML) open standard, together with an intelligent data mining technique combining neural networks and On-Line Analysis Process (OLAP) and rule-based reasoning approaches to support knowledge discovery. To validate the feasibility of this approach, an information infrastructure prototype is developed and tested in a company with description of this case example covered in this paper.
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Lau, H.C.W., Ning, A., Fung, P. (2003). Design and Implementation of an Intelligent Information Infrastructure. In: Gedeon, T.(.D., Fung, L.C.C. (eds) AI 2003: Advances in Artificial Intelligence. AI 2003. Lecture Notes in Computer Science(), vol 2903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24581-0_90
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DOI: https://doi.org/10.1007/978-3-540-24581-0_90
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