Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12513
Title: An intelligent information infrastructure to support knowledge discovery
Authors: Lau, HCW
Ip, RWL
Chan, FTS 
Keywords: Data interchange
Information infrastructure
OLAP
Rule-based reasoning
XML
Issue Date: 2002
Publisher: Pergamon Press
Source: Expert systems with applications, 2002, v. 22, no. 1, p. 1-10 How to cite?
Journal: Expert systems with applications 
Abstract: The lack of seamless data interchange and efficient data analysis hinders the formation of an effective information infrastructure that serves as the universal platform for data interchange across heterogeneous database systems. 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 On-Line Analysis Process (OLAP) and rule-based reasoning approaches to support knowledge discovery. To validate the feasibility of this hybrid approach, an information infrastructure prototype is developed and tested in a company with description of this case example covered in this paper.
URI: http://hdl.handle.net/10397/12513
ISSN: 0957-4174
DOI: 10.1016/S0957-4174(01)00044-6
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