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
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