Open Daily: 10am - 10pm | Alley door 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

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multi-Perspective Modelling for Knowledge Management and Knowledge Engineering: Practical Applications of Artificial Intelligence

Multi-Perspective Modelling for Knowledge Management and Knowledge Engineering: Practical Applications of Artificial Intelligence

Kingston, John

Paperback

General Computers

ISBN10: 1539048349
ISBN13: 9781539048343
Publisher: Createspace
Published: Oct 10 2016
Pages: 440
Weight: 1.29
Height: 0.89 Width: 6.00 Depth: 9.00
Language: English
It seems self-evident that knowledge management and knowledge engineering should share techniques, methods and underlying theory. Yet many in the field of knowledge management are sceptical of this claim, arguing that knowledge engineering often fails to capture the broad context in which knowledge exists. This book presents a multi-perspective modelling approach to representation of knowledge and its context that provides an underlying theory; resolves common issues in ontology development; and guides knowledge engineers through system development from organisational modelling to design specification. It includes extensive guidance on developing models using the CommonKADS methodology; on knowledge acquisition; and on selecting AI programming techniques. The guidance is illustrated with artificial intelligence applications including manufacturing and medical diagnosis; mortgage application assessment; search and rescue planning; and air campaign planning. This book constitutes the Ph.D. thesis (by research publications) of John K.C. Kingston, formerly of the Artificial Intelligence Applications Institute at the University of Edinburgh, now a Senior Lecturer in Information Systems and Business Computing at the University of Brighton. John has been described as one of the few people who can make CommonKADS comprehensible.

Also in

General Computers

View All