Using extended cardinal direction calculus in natural language based systems

  • Authors:
  • Jedrzej Osinski

  • Affiliations:
  • Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznan, Poland

  • Venue:
  • ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
  • Year:
  • 2010

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Abstract

The Cardinal Direction Calculus (CDC) is one of the most popular qualitative technique for spatial reasoning. The extended CDC (XCDC) can be successfully used for representation and reasoning about the spatio-temporal aspects of complex events. This paper discusses the problem of composing spatial relations in this formalism within systems using natural language input. We present the usage of the classic composition algorithm for both external and internal direction relations that can be driven from sentences in a natural language. Also some other solutions are introduced to improve the precision of the information processed by a system.