OLOG: A Deductive Object Database Language
(Extended Abstract)
Mengchi Liu 
Abstract
Deductive object-oriented databases are intended to combine the best of the deductive and object-oriented approaches. However,
some important object-oriented features are not properly supported in the existing proposals. This paper proposes a novel
deductive language that supports important structurally object-oriented features such as object identity, complex objects,
typing, classes, class hierarchies, multiple property inheritance with overriding, conflict-handling, and blocking, and schema
definitions in a uniform framework. The language effectively integrates useful features in deductive and object-oriented database
languages. The main novel feature is the logical semantics that cleanly accounts for those structurally object-oriented features
that are missing in object-oriented database languages. Therefore it establishes a theoretical foundation for a practical
deductive object-oriented database system for advanced database applications.
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