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.
Original language | English |
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Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | Expert Systems with Applications |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2002 |
Keywords
- Data interchange
- Information infrastructure
- OLAP
- Rule-based reasoning
- XML
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
- Artificial Intelligence