Establishing similarity across multi-granular topological-relation ontologies. (English)
Rothermel, Kurt (ed.) et al., Quality of context. First international workshop, QuaCon 2009, Stuttgart, Germany, June 25‒26, 2009. Revised papers. Berlin: Springer (ISBN 978-3-642-04558-5/pbk). Lecture Notes in Computer Science 5786, 98-108 (2009).
Summary: 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.