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Published in:
2009 | OriginalPaper | Chapter
Establishing Similarity across Multi-granular Topological–Relation Ontologies
Authors : Matthew P. Dube, Max J. Egenhofer
Published in: Quality of Context
Publisher: Springer Berlin Heidelberg
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Within the Geospatial Semantic Web, selecting a different ontology for a spatial data set will enable that data’s 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.