Assessing Semantic Similarities Among Geospatial Feature Class
Definitions
Andrea Rodríguez,
Max Egenhofer, and Robert Rugg Interoperating Geographic Information Systems, Second International Conference, Interop '99, Zurich, Switzerland, A. Vckovski, K. Brassel, and H.-J. Schek (eds.), Lecture Notes in Computer Science, Vol. 1580, Springer-Verlag, pp. 189-202, March 1999.
Abstract
The assessment of semantic similarity among objects is a basic
requirement for semantic interoperability. This paper presents an
innovative approach to semantic similarity assessment by combining
the advantages of two different strategies: feature-matching
process and semantic distance calculation. The model involves a
knowledge base of spatial concepts that consists of semantic
relations (is-a and part-whole) and distinguishing features
(functions, parts, and attributes). By taking into consideration
cognitive properties of similarity assessments, this model expects
to represent a cognitively plausible and computationally achievable
method for measuring the degree of interoperability.
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Andrea Rodríguez,
Max Egenhofer, and Robert Rugg