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A Temporal Knowledge Representation Model OSAM*/T and Its Query Language OQL/T
1991
Very Large Data Bases Conference
The importance of temporal database management and temporal reasoning has long been recognized by the database and AI communities. Many techniques for modeling and managing temporal databases have been introduced. Most of the existing research on temporal databases have been based on the relational data model which has limited capabilities in modeling complex objects, constraints, and behavioral properties. In this paper, we present an object-oriented knowledge-based approach to model and
dblp:conf/vldb/SuC91
fatcat:uuajrpo3v5d3nmfr3de7d7bgzu