• DocumentCode
    1609056
  • Title

    The space algebra: spatial reasoning without composition tables

  • Author

    El-Geresy, Baher A.

  • Author_Institution
    Dept. of Comput. Studies, Glamorgan Univ., UK
  • fYear
    1997
  • Firstpage
    67
  • Lastpage
    74
  • Abstract
    We propose a general approach for reasoning with incomplete topological knowledge in space without the need for composition tables. The approach builds on and generalizes our earlier formalism where spatial relations are represented by the intersection of object and space components. The reasoning method is applicable to objects of arbitrary complexity. One general equation is proposed here for the propagation of intersections between object components and the derivation of the result of spatial composition. Hence, a general algebra for reasoning in space is proposed. A major advantage of this method is that reasoning with incomplete knowledge can be done by direct application of the equation and the algebra on any spatial objects considered, and this eliminates the need for utilizing the inordinate number of composition tables which must be built for specific object types and topology. The method is applied on spatial objects of arbitrary complexity and in a finite definite number of steps controlled by the complexity needed in the representation of objects and the granularity of the spatial relations required
  • Keywords
    computational complexity; knowledge based systems; process algebra; spatial reasoning; arbitrary complexity; composition tables; incomplete topological knowledge; object types; space algebra; spatial objects; spatial reasoning; spatial relations; Algebra; Artificial intelligence; Biomedical imaging; Computational efficiency; Equations; Geographic Information Systems; Image coding; Image processing; Shape; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
  • Conference_Location
    Newport Beach, CA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-8203-5
  • Type

    conf

  • DOI
    10.1109/TAI.1997.632238
  • Filename
    632238