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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Knowledge Engineering: Unifying Knowledge Base and Database Design

Knowledge Engineering: Unifying Knowledge Base and Database Design

Debenham, John

Paperback

Series: Artificial Intelligence

DatabasesGeneral Computers

ISBN10: 3642720366
ISBN13: 9783642720369
Publisher: Springer Nature
Published: Dec 13 2011
Pages: 466
Weight: 1.48
Height: 0.97 Width: 6.14 Depth: 9.21
Language: English
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.

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