Knowledge-base Assisted Database Retrieval Systems
eBook - PDF

Knowledge-base Assisted Database Retrieval Systems

  1. 248 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Knowledge-base Assisted Database Retrieval Systems

About this book

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.

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Table of contents

  1. Contents
  2. Preface
  3. Acknowledgements
  4. Chapter 1 Natural Language, Knowledge, and Database
  5. Chapter 2 Knowledge-Based Natural Language Front-End
  6. Chapter 3 Knowledge-Based Database Assistant
  7. Chapter 4 Semantic Network Models
  8. Chapter 5 Manipulation of User Misconceptions in Database Retrieval
  9. Chapter 6 Cooperative Answers to Indirect Queries
  10. Chapter 7 Knowledge-Base for Handling Null Events
  11. Index

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Yes, you can access Knowledge-base Assisted Database Retrieval Systems by Tadao Ichikawa, Xu Wu, Nick Cercone in PDF and/or ePUB format, as well as other popular books in Informatik & Informatik Allgemein. We have over one million books available in our catalogue for you to explore.