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Establishing Similarity Across Multi-Granular Topological-Relation Ontologies

Dube, M. and M. Egenhofer. Establishing Similarity Across Multi-Granular Topological-Spatial Relations. QuaCon 2009 – First International Workshop on Quality of Context, Stuttgart, Germany. D. Fritsch and K. Rothermel (eds.), Lecture Notes in Computer Science, June 2009. pp. 98-108.

Abstract. Within the Geospatial Semantic Web, selecting a different ontology for a spatial data set will enable that dataĆ­s analysis in a different context. Analyses of multiple data sets, each based on a different ontology, require appropriate bridges across the ontologies. This paper focuses on establishing such a bridge across two topological-relation ontologies of different granularity; the standard eight detailed toplogical relations and five coarse topological relations. By mapping the conceptual neighborhood graphs onto a zonal representation, the different granularities are aligned spatially, yielding a reasoned approach to determining similarity values for the bridges across the two ontologies. A comparison with bridge lengths from an averaged model shows the better quality of zonal model.


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School of Computing and Information Science
348 Boardman Hall
Orono, ME 04469
Phone: (207) 581-2188 | Fax: (207) 581-2206E-mail: kkidder@spatial.maine.edu
The University of Maine
Orono, Maine 04469
207.581.1865