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Lecture Notes in Artificial Intelligence

Knowledge Acquisition, Modeling and Management

11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings

Editors: Studer, Rudi (Ed.)

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Softcover $129.00
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About this book

Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.

Table of contents (33 chapters)

Table of contents (33 chapters)
  • Reengineering and Knowledge Management

    Pages 1-12

    O’Leary, Daniel E.

  • Knowledge Navigation in Networked Digital Libraries

    Pages 13-32

    Papazoglou, Mike P. (et al.)

  • Towards Brokering Problem-Solving Knowledge on the Internet

    Pages 33-48

    Richard Benjamins, V. (et al.)

  • TERMINAE: A Linguistics-Based Tool for the Building of a Domain Ontology

    Pages 49-66

    Biébow, Brigitte (et al.)

  • Applications of Knowledge Acquisition in Experimental Software Engineering

    Pages 67-84

    Birk, Andreas (et al.)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-540-48775-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA in USD
  • ISBN 978-3-540-66044-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Knowledge Acquisition, Modeling and Management
Book Subtitle
11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings
Editors
  • Rudi Studer
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
1621
Copyright
1999
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-48775-3
DOI
10.1007/3-540-48775-1
Softcover ISBN
978-3-540-66044-6
Edition Number
1
Number of Pages
XII, 412
Topics