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Knowledge acquisition in practice : a step-by-step guide

Knowledge acquisition in practice : a step-by-step guide

자료유형
단행본
개인저자
Milton, Nick R.
서명 / 저자사항
Knowledge acquisition in practice : a step-by-step guide / N.R. Milton.
발행사항
London :   Springer ,   c2007.  
형태사항
xi, 176 p. : ill. ; 24 cm.
총서사항
Decision engineering
ISBN
1846288606 (hbk.) 9781846288609 (hbk.) 1846288614 (ebook) 9781846288616 (ebook)
서지주기
Includes bibliographical references (p. [173]-174) and index.
일반주제명
Knowledge acquisition (Expert systems) Knowledge representation (Information theory)
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440 0 ▼a Decision engineering
504 ▼a Includes bibliographical references (p. [173]-174) and index.
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650 0 ▼a Knowledge representation (Information theory)
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994 ▼a C0 ▼b KUB

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.331 M662k 등록번호 121152092 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

책소개

This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.



Recent years have seen an upsurge of interest in knowledge. Leading organisations now recognise the importance of identifying what they know, sharing what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of expertise and making use of knowledge modelling methods and the latest web technologies.

Knowledge Acquisition in Practice is the first book to provide a detailed step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its successful conclusion. Each step is described in terms of the reasons for the step, the required resources, the activities to be undertaken, and the solutions to common problems. In addition, each step has a checklist which lists the key items that should be achieved during the step.

Knowledge Acquisition in Practice will be of value to knowledge engineers, knowledge workers, knowledge officers and ontological engineers. The book will also be of interest to students and researchers of AI, computer science and business studies.



New feature

Recent years have seen an upsurge of interest in knowledge. Leading organisations now recognise the importance of identifying what they know, sharing what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of expertise and making use of knowledge modelling methods and the latest web technologies.

Knowledge Acquisition in Practice is the first book to provide a detailed step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its successful conclusion. Each step is described in terms of the reasons for the step, the required resources, the activities to be undertaken, and the solutions to common problems. In addition, each step has a checklist which lists the key items that should be achieved during the step.

Knowledge Acquisition in Practice will be of value to knowledge engineers, knowledge workers, knowledge officers and ontological engineers. The book will also be of interest to students and researchers of AI, computer science and business studies.




정보제공 : Aladin

목차

Overview of the Step-by-step Procedure.- Start, Scope and Plan the Project.- Initial Capture and Modelling.- Detailed Capture and Modelling.- Share the Stored Knowledge.- Implementation Issues.


정보제공 : Aladin

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