The relation-based knowledge representation of King Kong

  • Authors:
  • Samuel Bayer;Marc Vilain

  • Affiliations:
  • -;-

  • Venue:
  • ACM SIGART Bulletin - Special issue on implemented knowledge representation and reasoning systems
  • Year:
  • 1991

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Abstract

This paper presents an overview of the knowledge representation facilities of King Kong a transportable natural language system. The thrust of the paper is towards demonstrating how the particulars of Kong's representation language support the processing of key phenomena of natural language. To this extent, we cover Kong's terminological hierarchies; the logical language in which Kong encodes utterance meanings; and the query evaluator that interfaces Kong to expert system back ends. We focus particularly on King Kong's innovative treatment of relations, as this treatment provides the system with much of its language analysis strengths.