TY - GEN
T1 - Semantic similarity applied to generalization of geospatial data
AU - Moreno-Ibarra, Marco
PY - 2007
Y1 - 2007
N2 - The paper presents an approach to verifying the consistency of generalized geospatial data at a conceptual level. The principal stages of the proposed methodology are Analysis, Synthesis, and Verification. Analysis is focused on extracting the peculiarities of spatial relations by means of quantitative measures. Synthesis is used to generate a conceptual representation (ontology) that explicitly and qualitatively represents the relations between geospatial objects, resulting in tuples called herein semantic descriptions. Verification consists of a comparison between two semantic descriptions (description of source and generalized data): we measure the semantic distance (confusion) between ontology local concepts, generating three global concepts Equal, Unequal, and Equivalent. They measure the (in) consistency of generalized data: Equal and Equivalent - their consistency, while Unequal - an inconsistency. The method does not depend on coordinates, scales, units of measure, cartographic projection, representation format, geometric primitives, and so on. The approach is applied and tested on the generalization of two topographic layers: rivers and elevation contour lines (case of study).
AB - The paper presents an approach to verifying the consistency of generalized geospatial data at a conceptual level. The principal stages of the proposed methodology are Analysis, Synthesis, and Verification. Analysis is focused on extracting the peculiarities of spatial relations by means of quantitative measures. Synthesis is used to generate a conceptual representation (ontology) that explicitly and qualitatively represents the relations between geospatial objects, resulting in tuples called herein semantic descriptions. Verification consists of a comparison between two semantic descriptions (description of source and generalized data): we measure the semantic distance (confusion) between ontology local concepts, generating three global concepts Equal, Unequal, and Equivalent. They measure the (in) consistency of generalized data: Equal and Equivalent - their consistency, while Unequal - an inconsistency. The method does not depend on coordinates, scales, units of measure, cartographic projection, representation format, geometric primitives, and so on. The approach is applied and tested on the generalization of two topographic layers: rivers and elevation contour lines (case of study).
UR - http://www.scopus.com/inward/record.url?scp=38349038333&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-76876-0_16
DO - 10.1007/978-3-540-76876-0_16
M3 - Contribución a la conferencia
AN - SCOPUS:38349038333
SN - 9783540768753
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 247
EP - 255
BT - GeoSpatial Semantics - Second International Conference, GeoS 2007, Proceedings
PB - Springer Verlag
T2 - 2nd International Conference on Geospatial Semantics, GeoS 2007
Y2 - 29 November 2007 through 30 November 2007
ER -