An intelligent information infrastructure to support knowledge discovery

Henry C.W. Lau, Ralph W.L. Ip, Tung Sun Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

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 languageEnglish
Pages (from-to)1-10
Number of pages10
JournalExpert Systems with Applications
Volume22
Issue number1
DOIs
Publication statusPublished - 1 Jan 2002

Keywords

  • Data interchange
  • Information infrastructure
  • OLAP
  • Rule-based reasoning
  • XML

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this