IAM: an inferential abstract modeling approach to design of conceptual schema

Authors:
Janis A. Bubenko Jr
Affiliations:
The Royal Institute of Technology and University of Stockholm, Fack, S-106 91, Stockholm, Sweden
Venue:
SIGMOD '77 Proceedings of the 1977 ACM SIGMOD international conference on Management of data
Year:
1977

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Abstract

A method for designing a conceptual schema (information model) for a data base is presented. The basic notion is that a conceptual schema is designed by collecting and integrating 'local' user information requirements and analysis of information inference relationships. The procedure consists of the following phases: 1) collection and specification of information requirements, 2) entity classification, 3) specification of functional dependencies, 4) abstract object specification, integration and analysis, 5) implied information analysis, 6) derivability (precedence) analysis and 7) transformation to an 'external-named-based' model. The phases are performed iteratively in a controlled fashion. Underlying theoretical concepts are defined and arguments presented for the method's practical applicability.