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A rulebase Model for Data and Knowledge Integration in Distributed Heterogeneous Environments

Computerized Manufacturing systems invariably entail multiple data and knowledge resources that tend to be implemented on distributed and heterogeneous computing platforms. Three aspects of integration, therefore, must be addressed in any effort of information integration for these systems: (1) data integration (among, e.g., product design databases, shop floor control databases, and production planning databases), (2) knowledge integration (across various knowledge-based systems that share common enterprise facts, operating rules, or decision logic), and (3) data and knowledge integration (so as to, at least, calibrate databases with factbases and data models with knowledge models). A key issue in this integration problem, especially the third aspect, is the global representation of knowledge in the form of production rules (including data semantic constraints as well as application processing logic). This paper develops a rulebase model to address this need. In particular, the model combines production rule with relation into a structure that allows full factbase management, inclusion of complete logic (both condition and action), and efficient rulebase processing. While contributing to the generic areas of knowledge base systems, in its own right, the rulebase model is developed as a part of the metadatabase approach to manufacturing information integration [Hsu85, Hsu90, Hsu91, Hsu91]. The Two-Stage Entity-Relationship (TSER) model [Hsu85, Hsu87] is employed for the representation method.