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KNOWLEDGE-BASE ASSISTED DATABASE RETRIEVAL SYSTEMS
by X Wu, T Ichikawa (Hiroshima Univ., Japan) & N Cercone (Univ. Regina, Canada)
This book discusses the application of some Artificial Intelligence (AI) technologies to database systems. The integration of AI technology and database management has developed into an important research topic, and many AI methods, such as logic programming, natural language understanding, knowledge-bases, etc., have been applied to the development of intelligent database systems capable of deduction, natural language query understanding, cooperative query answering, and substantial query guidance. In this book, the authors review some knowledge-base assisted database access techniques, incorporating techniques to form a new kind of database front-end. The results of these applications are summarized and explained.
Contents:
- Natural Language, Knowledge, and Database
- Knowledge-Based
Natural Language Front-End
- Knowledge-Based Database Assistant
- Semantic Network Models
- Manipulation of User Misconceptions in Database Retrieval
- Cooperative Answers to Indirect Queries
- Knowledge-Base for Null Events
Readership: Computer scientists.
| 248pp |
Pub. date: Oct 1996 |
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