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. © 2001 Elsevier Science Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Journal | Expert Systems with Applications |
| Volume | 22 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2002 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Data interchange
- Information infrastructure
- OLAP
- Rule-based reasoning
- XML
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