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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence) - Softcover
Synopsis
A monograph for specialists interested in building maintainable knowledge based systems, giving a unified methodology for the design of such systems
"synopsis" may belong to another edition of this title.
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.
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.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2011
- ISBN 10 3642720366
- ISBN 13 9783642720369
- BindingPaperback
- LanguageEnglish
- Number of pages480
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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)
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Knowledge Engineering
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ISBN 10: 3642720366
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 484 pp. Englisch. Seller Inventory # 9783642720369
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Knowledge Engineering : Unifying Knowledge Base and Database Design
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ISBN 10: 3642720366
ISBN 13: 9783642720369
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642720369
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