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  • Conference proceedings
  • © 1999

Knowledge Acquisition, Modeling and Management

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1621)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): EKAW: International Conference on Knowledge Engineering and Knowledge Management

Conference proceedings info: EKAW 1999.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-XI
  2. Invited Papers

    1. Reengineering and Knowledge Management

      • Daniel E. O’Leary
      Pages 1-12
    2. Knowledge Navigation in Networked Digital Libraries

      • Mike P. Papazoglou, Jeroen Hoppenbrouwers
      Pages 13-32
  3. Long Papers

    1. Towards Brokering Problem-Solving Knowledge on the Internet

      • V. Richard Benjamins, Bob Wielinga, Jan Wielemaker, Dieter Fensel
      Pages 33-48
    2. TERMINAE: A Linguistics-Based Tool for the Building of a Domain Ontology

      • Brigitte Biébow, Sylvie Szulman, Av. J. B. Clément
      Pages 49-66
    3. Applications of Knowledge Acquisition in Experimental Software Engineering

      • Andreas Birk, Dagmar Surmann, Klaus-Dieter Althoff
      Pages 67-84
    4. Modeling Information Sources for Information Integration

      • François Goasdoué, Chantal Reynaud
      Pages 121-138
    5. Ontological Reengineering for Reuse

      • Asunción Gómez-Pérez, Ma Dolores Rojas-Amaya
      Pages 139-156
    6. Formally Verifying Dynamic Properties of Knowledge Based Systems

      • Perry Groot, Annette ten Teije, Frank van Harmelen
      Pages 157-171
    7. Integration of Behavioural Requirements Specification within Knowledge Engineering

      • Daniela E. Herlea, Catholijn M. Jonker, Jan Treur, Niek J. E. Wijngaards
      Pages 173-190
    8. Towards an Ontology for Substances and Related Actions

      • Björn Höfling, Thorsten Liebig, Dietmar Rösner, Lars Webel
      Pages 191-206
    9. Use of Formal Ontologies to Support Error Checking in Specifications

      • Yannis Kalfoglou, David Robertson
      Pages 207-224
    10. The Ontologies of Semantic and Transfer Links

      • Mourad Oussalah, Karima Messaadia
      Pages 225-242
    11. Distributed Problem Solving Environment Dedicated to DNA Sequence Annotation

      • Thibault Parmentier, Danièle Ziébelin
      Pages 243-258
  4. Short Papers

    1. Holism and Incremental Knowledge Acquisition

      • Ghassan Beydoun, Achim Hoffmann
      Pages 309-314

Other Volumes

  1. Knowledge Acquisition, Modeling and Management

    11th European Workshop, EKAW’99 Dagstuhl Castle, Germany, May 26–29, 1999 Proceedings

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.

Keywords

  • Fuzzy
  • Intelligent Information Systems
  • Knowledge Acquisition
  • Knowledge Management
  • Knowledge Processing
  • expert system
  • information system
  • knowledge engineering
  • knowledge-based system
  • knowledge-based systems
  • linguistics
  • machine learning
  • ontology
  • semantics
  • verification

Editors and Affiliations

  • AIFB Institute for Applied Computer Science and Formal Description Methods, University of Karlsruhe, Karlsruhe, Germany

    Dieter Fensel, Rudi Studer

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: Dieter Fensel, Rudi Studer

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-48775-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1999

  • Softcover ISBN: 978-3-540-66044-6

  • eBook ISBN: 978-3-540-48775-3

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 412

  • Topics: Artificial Intelligence

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-48775-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 129.00
Price excludes VAT (USA)