Asessing Semnatic Similarities among Geospatial Feature Class Definitions

نویسندگان

  • M. Andrea Rodríguez
  • Max J. Egenhofer
  • Robert D. Rugg
چکیده

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 represents a cognitively plausible and computationally achievable method for measuring the degree of interoperability.

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تاریخ انتشار 1999