Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)

John Debenham

ISBN 10: 3642720366 / ISBN 13: 9783642720369

Published by Springer-Verlag, 2012

About this Item

reprint edition. 480 pages. 9.25x6.10x1.00 inches. In Stock.

Seller Inventory # x-3642720366

Bibliographic Details

• Title: Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)
• Publisher: Springer-Verlag
• Publication Date: 2012
• Language: English
• ISBN 10: 3642720366
• ISBN 13: 9783642720369
• Binding: Paperback
• Condition: Brand New
• Weight: 0.68 kilograms

About this title

Synopsis

This monograph describes a methodology for the design of knowledge-based systems. A knowledge-based system contains knowledge as well as information and data. The information and data in such a system can be modelled and imple­ mented as a database. The knowledge in such a system can be implemented either in a programming language or in an expert systems shell. This methodology has two distinguishing features. First, it is "unified". A unified methodology repre­ sents the data, information and knowledge in a homogeneous manner, as well as the relationships between them. Second, the methodology builds a maintenance mechanism into the design. In knowledge engineering terms, the representation used by this methodology to model knowledge bases applies equally to databases. In database terms, the representation used by this methodology to model databases applies equally to the database rules. The unified methodology unifies the design of the "knowledge base compo­ nent" and the "database component". "Unification" is achieved in five senses.

From the Back Cover

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.