Readings in artificial intelligence and databases
著者
書誌事項
Readings in artificial intelligence and databases
M. Kaufmann, c1989
- タイトル別名
-
Artificial intelligence & databases
大学図書館所蔵 件 / 全47件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Bibliography: p. 645-673
Includes index
内容説明・目次
内容説明
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.
目次
Chapter 1 Introduction to AI and DatabasesChapter 2 Representation and SemanticsChapter 3 Performance IssuesEpilogue
「Nielsen BookData」 より