Readings in Artificial Intelligence and Databases

Front Cover
John Mylopoulos, Michael Brodie, Michael L. Brodie
Morgan Kaufmann, 1989 - Computers - 688 pages

The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s.


An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction.


Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.

 

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Contents

Introduction to AI and Databases
9
2
72
Representation and Semantics
83
J Mylopoulos P A Bernstein and H K T Wong
167
An Overview of the KLONE Knowledge Representation System
219
3
230
5
327
Epilogue
621
Computer Science and Concern for
643
Credits
675
444
683
Copyright

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