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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

Editors:

  1. Dieter Fensel

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

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  2. Rudi Studer

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

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    You can also search for this editor in PubMed   Google Scholar

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. Short Papers

    1. Indexing Problem Solving Methods for Reuse

      • Joost Breuker
      Pages 315-322
      PDF

    2. Software Methodologies at Risk

      • Osvaldo Cairó, Julio Barreiro, Francisco Solsona
      Pages 323-328
      PDF
    3. PDF

    4. An Interoperative Environment for Developing Expert Systems

      • Noriaki Izumi, Akira Maruyama, Atsuyuki Suzuki, Takahira Yamaguchi
      Pages 335-340
      PDF

    5. On the Use of Meaningful Names in Knowledge-Based Systems

      • M. G. Jansen, P. Beys
      Pages 341-348
      PDF

    6. FMR: An Incremental Knowledge Acquisition System for Fuzzy Domains

      • Rodrigo Martínez-Béjar, Francisca Ibáñez-Cruz, Thong Le-Gia, Tri M. Cao, Paul Compton
      Pages 349-354
      PDF

    7. Applying SeSKA to Sisyphus III

      • Päivikki Parpola
      Pages 355-360
      PDF
    8. PDF
    9. PDF

    10. Exploitation of XML for Corporate Knowledge Management

      • Auguste Rabarijoana, Rose Dieng, Olivier Corby
      Pages 373-378
      PDF

    11. An Oligo-Agents System with Shared Responsibilities for Knowledge Management

      • Franz Schmalhofer, Ludger van Elst
      Pages 379-384
      PDF

    12. Veri-KoMoD: Verification of Knowledge Models in the Mechanical Design Field

      • Florence Sellini, Pierre-Alain Yvars
      Pages 385-390
      PDF

    13. A Flexible Framework for Uncertain Expertise

      • Heiner Stuckenschmidt, K. Christoph Ranze
      Pages 391-396
      PDF

    14. Elicitation of Operational Track Grids

      • Randy P. Wolf
      Pages 397-402
      PDF

  2. Back Matter

    Pages 403-404
    PDF
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Other Volumes

  1. Knowledge Acquisition, Modeling and Management

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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.
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Keywords

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Editors and Affiliations

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

    Dieter Fensel, Rudi Studer

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Bibliographic Information

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Download book PDF

Buy it now

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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