Semantic networks and the generation of context

  • Authors:
  • John Mylopoulos;Philip Cohen;Alexander Borgida;Laszlo Sugar

  • Affiliations:
  • Department of Computer Science, University of Toronto, Toronto, Canada;Department of Computer Science, University of Toronto, Toronto, Canada;Department of Computer Science, University of Toronto, Toronto, Canada;Department of Computer Science, University of Toronto, Toronto, Canada

  • Venue:
  • IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1975

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Abstract

This paper outlines a representation of knowledge based on semantic networks and organized in terms of semantic axes and "scenarios". A context mechanism for such nets is also discussed, along with an algorithm for integrating new information to a semantic net. Finally, an example is given to illustrate the representation and the context mechanism.