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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence) - Softcover
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A monograph for specialists interested in building maintainable knowledge based systems, giving a unified methodology for the design of such systems
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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.
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Knowledge Engineering
Print-on-DemandAnbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A systematic and detailed presentation of a design methodology for knowledge-based systemsData, information, and knowledge are integrated in a unified methodologyThe methodology builds a maintenance mechanism into the designA monograph for speci. Bestandsnummer des Verkäufers 5068945
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Knowledge Engineering : Unifying Knowledge Base and Database Design
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783642720369
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Knowledge Engineering
Verlag:
Springer Berlin Heidelberg Dez 2011, 2011
ISBN 10: 3642720366
ISBN 13: 9783642720369
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783642720369
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Knowledge Engineering
ISBN 10: 3642720366
ISBN 13: 9783642720369
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch. Bestandsnummer des Verkäufers 9783642720369
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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)
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Knowledge Engineering
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Knowledge Engineering
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Zustand: New. PRINT ON DEMAND pp. 484. Bestandsnummer des Verkäufers 1858582042
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Knowledge Engineering
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Zustand: New. Print on Demand pp. 484 288 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Bestandsnummer des Verkäufers 51010511
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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)
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Paperback. Zustand: Brand New. reprint edition. 480 pages. 9.25x6.10x1.00 inches. In Stock. Bestandsnummer des Verkäufers x-3642720366
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Knowledge Engineering: Unifying Knowledge Base and Database Design (Artificial Intelligence)
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