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Knowledge Engineering

Unifying Knowledge Base and Database Design

  • John Debenham

Part of the Artificial Intelligence book series (AI)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. John Debenham
    Pages 1-31
  3. John Debenham
    Pages 33-56
  4. John Debenham
    Pages 57-97
  5. John Debenham
    Pages 99-146
  6. John Debenham
    Pages 147-175
  7. John Debenham
    Pages 177-235
  8. John Debenham
    Pages 237-268
  9. John Debenham
    Pages 269-317
  10. John Debenham
    Pages 319-342
  11. John Debenham
    Pages 343-368
  12. John Debenham
    Pages 369-390
  13. John Debenham
    Pages 391-448
  14. Back Matter
    Pages 449-467

About this book

Introduction

This book is a systematic and detailed description of a design methodology for knowledge-based systems. Such systems contain knowledge as well as information and data. The information and data can be modeled and implemented as a database, the knowledge can be implemented either in a programming language or in an expert systems shell. The methodology has two special features: It is unified, i.e., it represents the data, information, and knowledge in a homogeneous manner, as well as the relationships between them. Also, it builds a maintenance mechanism into the design.
An additional benefit of the book is its thorough treatment of constraints for knowledge and for knowledge-based systems. Presenting the material in both a formal and a practical way, it is intended for practitioners as well as researchers and advanced students.

Keywords

Datenbankentwurf behavior classification database database design design expert system knowledge knowledge base knowledge engineering knowledge-based systems language programming software software engineering

Authors and affiliations

  • John Debenham
    • 1
  1. 1.School of Computing SciencesUniversity of Technology, SydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-72034-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-72036-9
  • Online ISBN 978-3-642-72034-5
  • Series Print ISSN 1431-0066
  • Buy this book on publisher's site
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