Data abstraction for designing database-intensive applications

Authors:
Michael L. Brodie
Affiliations:
Department of Computer Science, University of Maryland
Venue:
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Year:
1980

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Abstract

There is a growing exchange of ideas amongst Artificial Intelligence (AI), Database (DB) and Programming Language (PL) researchers concerning conceptual modelling of complex, object-oriented applications. The complexity of these applications arises from complicated structural and behavioral properties which change through time; concurrent, interactive access by users with different processing needs over a shared database; information locality (i.e., DB views, PL data abstractions, AI perspectives); and primarily update-oriented transactions. Two main problems raised by these applications are: managing the intellectual complexity of their design, development and evolution, and defining and ensuring semantic integrity.