• Title of article

    A formal theory for spatial representation and reasoning in biomedical ontologies

  • Author/Authors

    Donnelly، نويسنده , , Maureen and Bittner، نويسنده , , Thomas and Rosse، نويسنده , , Cornelius، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2006
  • Pages
    27
  • From page
    1
  • To page
    27
  • Abstract
    SummaryObjective jective of this paper is to demonstrate how a formal spatial theory can be used as an important tool for disambiguating the spatial information embodied in biomedical ontologies and for enhancing their automatic reasoning capabilities. and materials aper presents a formal theory of parthood and location relations among individuals, called Basic Inclusion Theory (BIT). Since biomedical ontologies are comprised of assertions about classes of individuals (rather than assertions about individuals), we define parthood and location relations among classes in the extended theory Basic Inclusion Theory for Classes (BIT + Cl). We then demonstrate the usefulness of this formal theory for making the logical structure of spatial information more precise in two ontologies concerned with human anatomy: the Foundational Model of Anatomy (FMA) and GALEN. s d that in both the FMA and GALEN, class-level spatial relations with different logical properties are not always explicitly distinguished. As a result, the spatial information included in these biomedical ontologies is often ambiguous and the possibilities for implementing consistent automatic reasoning within or across ontologies are limited. sion e formal characterizations of all spatial relations assumed by a biomedical ontology are necessary to ensure that the information embodied in the ontology can be fully and coherently utilized in a computational environment. This paper can be seen as an important beginning step toward achieving this goal, but much more work along these lines is required.
  • Keywords
    Ontology , Knowledge representation , anatomy , Mereology , Spatial reasoning
  • Journal title
    Artificial Intelligence In Medicine
  • Serial Year
    2006
  • Journal title
    Artificial Intelligence In Medicine
  • Record number

    1836344