Knowledge Acquisition in Practice A Step-by-step Guide
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 engineer
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Series Editor Professor Rajkumar Roy Department of Enterprise Integration School of Industrial and Manufacturing Science Cranfield University Cranfield Bedford MK43 0AL UK
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N. R. Milton
KnowledgeAcquisition in Practice A Step-by-step Guide
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N. R. Milton, PhD, BSc, BA Chief Knowledge Architect Epistemics www.epistemics.co.uk and Director of Knowledge Services Tacit Connexions www.tacitconnexions.com
British Library Cataloguing in Publication Data Milton, N. R. Knowledge acquisition in practice : a step-by-step guide. (Decision engineering) 1. Knowledge acquisition (Expert systems) 2. Knowledge representation (Information theory) I. Title 006.3’31 ISBN-13: 9781846288609 Library of Congress Control Number: 2007925390 Decision Engineering Series ISSN 1619-5736 ISBN 978-1-84628-860-9 e-ISBN 978-1-84628-861-6
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© Springer-Verlag London Limited 2007 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. 987654321 Springer Science+Business Media springer.com
Foreword
In the 1970s, AI practitioners came to believe that the secret to building effective software programs was to fill them with knowledge. However, they knew very little about the techniques and methods required to extract knowledge either from textural sources, databases or human experts. The field of knowledge acquisition and elicitation was born as a distinct area. I well remember the earliest conferences and workshops on the topic. They were a heady mix of discipl
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