Applying SeSKA to Sisyphus III

  • Authors:

  • Päivikki Parpola

  • Affiliations:

  • -

  • Venue:
  • EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
  • Year:
  • 1999

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Abstract

SeSKA (Seamless Structured Knowledge Acquisition) is a methodology for constructing and maintaining knowledge bases (KB). The iterative sequence of development stages creates a series of objectoriented models, connected by seamless transformations. Principles of applying SeSKA to the Sisyphus III rock classification problem are described. Extended semantics of input schemes for SeSKA are presented. Also conversions from schemes in Sisyphus III material are sketched. The Sisyphus projects are often used as test benches for different KA methodologies. A proper evaluation of SeSKA can be made only after a complete KB has been constructed using it.