Active Databases as a Paradigm for Enhanced Computing Environments.
UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
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Active databases emphasize the notion that a body of information is dynamic and should respond intelligently and in non-trivial ways to the user. It provides a paradigm for research and development which combines aspects of both databases and artificial intelligence technologies. A prototype system has shown the viability of this approach. The author focuses on the following database issues 1 Descriptions are used as semantic templates for associatively accessing and manipulating data objects 2 Dynamic views minimize the typical distinctions between queries and retrievals, and between views and real data, and thereby increase the perceived immediacy of the user interface and 3 Constraint Equations are developed as a declarative representation for semantic constraints. The uniform approach they provide for expressing database integrity, consistency, and more general semantics derives its power from the rule-based framework of recent A.I. expert systems. The efficiency of constraint maintenance also is considered. Lastly, 4 The notion of binding time of data associations and reference is discussed relative to both the choice of data model and to the method of data access. Author
- Information Science