Inferring additional knowledge from QTCN relations

  • Authors:

  • Matthias Delafontaine;Peter Bogaert;Anthony G. Cohn;Frank Witlox;Philippe De Maeyer;Nico Van de Weghe

  • Affiliations:

  • Ghent University, Department of Geography, Krijgslaan 281 WE12, 9000 Gent, Belgium;Ghent University, Department of Geography, Krijgslaan 281 WE12, 9000 Gent, Belgium;University of Leeds, School of Computing, Leeds LS2 9JT, United Kingdom;Ghent University, Department of Geography, Krijgslaan 281 WE12, 9000 Gent, Belgium;Ghent University, Department of Geography, Krijgslaan 281 WE12, 9000 Gent, Belgium;Ghent University, Department of Geography, Krijgslaan 281 WE12, 9000 Gent, Belgium

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2011

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Abstract

It is widely held that people tend to use qualitative rather than quantitative phrases when raising or answering questions about moving objects. Queries about whether an object is moving towards or away from another object or whether objects are getting closer to each other or further away from each other, require qualitative responses. This characteristic should be reflected in a calculus to be used to describe and reason about continuously moving objects. In this paper, we present a qualitative trajectory calculus of relations between two disjoint moving objects, whose movement is constrained by a network. The proposed calculus (QTC"N) is formally introduced and illustrated. Particular attention is placed on how to infer additional knowledge from QTC"N relations by means of composition tables and the transformation of QTC"N relations into relations defined by the Relative Trajectory Calculus on Networks (RTC"N).