On The Role Of 'Understanding Models' In Conceptual Schema Design
Janis A. Bubenko
Abstract
Janis A. Bubenko
Abstract
This paper suggests that two levels should be considered when designing a conceptual schema: the 'understanding level' and the'conceptual data base level'. The first level includes two realms of importance - the set of information requirements (IRQ) and the conceptual information model (CIM). The next level includes two realms: - the conceptual data base model (CDBM) and the conceptual processing model (CPM). The CIM is full time-perspective, unrestricted view of the enterprise and aims at defining relevant relatiionships, events and inference relations. The CDBM is, together with CPM, a data base realization of CIM which satisfies IRQ. In this paper designs at both levels are illustrated and the utility of the conceptual information model is discussed.
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This paper suggests that two levels should be considered when designing a conceptual schema: the 'understanding level' and the'conceptual data base level'. The first level includes two realms of importance - the set of information requirements (IRQ) and the conceptual information model (CIM). The next level includes two realms: - the conceptual data base model (CDBM) and the conceptual processing model (CPM). The CIM is full time-perspective, unrestricted view of the enterprise and aims at defining relevant relatiionships, events and inference relations. The CDBM is, together with CPM, a data base realization of CIM which satisfies IRQ. In this paper designs at both levels are illustrated and the utility of the conceptual information model is discussed.
Key concepts: Conceptual schema, Conceptual model, Computer science, Schema (genetic algorithms), Data modeling, Conceptual design, Inference, Knowledge management