Description |
1 online resource (xi, 176 pages) : illustrations |
Series |
Decision engineering |
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Decision engineering.
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Contents |
Introduction -- 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 |
Summary |
"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 17 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."--Jacket |
Bibliography |
Includes bibliographical references (pages 173-174) and index |
Notes |
English |
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Print version record |
In |
Springer e-books |
Subject |
Knowledge acquisition (Expert systems)
|
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Knowledge representation (Information theory)
|
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COMPUTERS -- Expert Systems.
|
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Knowledge acquisition (Expert systems)
|
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Knowledge representation (Information theory)
|
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Ingénierie.
|
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Knowledge acquisition (Expert systems)
|
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Knowledge representation (Information theory)
|
Form |
Electronic book
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LC no. |
2007925390 |
ISBN |
9781846288616 |
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1846288614 |
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1846288606 |
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9781846288609 |
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6610853606 |
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9786610853601 |
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