Readings in Artificial Intelligence and Databases
Language: English
Published by Morgan Kaufmann, San Mateo, CA, 1988
- First Edition
- Softcover
- Used
Seller: True Oak Books, Highland, NY, U.S.A.True Oak Books
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8.75 X 1.5 X 11 inches; 688 pages; fading on spine. Light shelf rubbing and creasing on the covers and spine. Previous owner's name on the title page. Good condition otherwise. No other noteworthy defects. No markings on text pages.; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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- Title
- Readings in Artificial Intelligence and Databases
- Author
- Brodie, Michael L. & John Mylopoulos
- Publisher
- Morgan Kaufmann, San Mateo, CA
- Publication year
- 1988
- Condition
- Good+
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0934613532
- ISBN 13
- 9780934613538
- Edition
- First Edition; First Printing.
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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