
Readings in Artificial Intelligence and Databases
Morgan Kaufmann (Publisher)
Published on 25. December 1988
Book
Paperback/Softback
688 pages
978-0-934613-53-8 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Weight
1540 gr
ISBN-13
978-0-934613-53-8 (9780934613538)
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Schweitzer Classification
Other editions
Additional editions

John Mylopoulos | Michael L. Brodie
Readings in Artificial Intelligence and Databases
E-Book
06/2014
Morgan Kaufmann
€54.95
Available for download
Persons
By John Mylopoulos and Michael L. Brodie
Content
Chapter 1 Introduction to AI and DatabasesChapter 2 Representation and SemanticsChapter 3 Performance IssuesEpilogue