Knowledge Engineering: Unifying Knowledge Base and Database Design

Overview

This systematic and detailed monograph describes 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,...

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Overview

This systematic and detailed monograph describes 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. A special 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.

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Product Details

  • ISBN-13: 9783540637653
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 6/28/1998
  • Series: Artificial Intelligence Series
  • Edition number: 1
  • Pages: 466
  • Product dimensions: 6.42 (w) x 9.54 (h) x 1.33 (d)

Table of Contents

1 Fundamentals 1
2 Non-unified design 33
3 Items 57
4 Objects 99
5 Schemas 147
6 Normalisation 177
7 Specification 237
8 Analysis 269
9 Function 319
10 Layout 343
11 Maintenance 369
12 Case study 391
References 449
Subject index 457
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