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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)
 
 
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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence) [Illustrated] (Hardcover)

by J. Debenham (Author)
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Product Description

Product Description
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.

From the Author
General Description
This book describes a methodology for the design of knowledge-based systems and deductive database systems. It is intended for researchers and professionals who are concerned with the maintenance of large systems.

This methodology:

• represents the data, information and knowledge in a single unified formalism; • constructs a requirements model, conceptual model, functional model and internal model; • represents constraints on the data, information and knowledge in the four models; • employs a practical schema notation that is grounded in the lambda calculus; • builds a maintenance mechanism into the design; and • employs a generalised form of normalisation to simplify the maintenance requirements of the design.

The book contains a substantial case study to illustrate the methodology.

The book contains new results and methods that are not available elsewhere.

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