Article

Journal of Systems Integration

, Volume 2, Issue 1, pp 5-37

First online:

Metadatabase modeling for enterprise information integration

  • Cheng HsuAffiliated withDepartment of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute
  • , Gilbert BabinAffiliated withDepartment of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute
  • , Lester YeeAffiliated withDepartment of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute
  • , M'Hamed BouzianeAffiliated withDigital Equipment Corp.
  • , Waiman CheungAffiliated withThe Chinese University of Hong Kong
  • , Laurie RattnerAffiliated withSchool of Management, University of New Mexico

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Abstract

An underpinning to the notion of computer-integrated enterprises is information integration; that is, the integration of information resources and decision logic across the enterprise to achiete functional synergies. This concept requires certain basic extensions to two previously separate paradigms: information modeling and metadata management. In particular, both paradigms mus consider not only data resources but also contextual knowledge in a unified way; furthermore, they have to converge as a single, integrated method rather than belonging to two distinct stages of a life cycle. Toward this end, a modeling system is developed based on the two-stage entity relationship (TSER) approach [3, 4, 5, 7] and the metadatabase method [5, 6, 8].

This paper presents the metadatabase goals and the metadata modeling system, focusing on its basic concepts, design, and current implementation. In addition, the prototype environmental of the metadatabase that this system creates is illustrated through some examples taken from a computer-integrated manufacturing case.

Key Words

Metadatabase data and knowledge management heterogeneous databases information modeling