TY - GEN
T1 - Semantic similarity applied to geomorphometric analysis of digital elevation models
AU - Moreno-Ibarra, Marco
AU - Levachkine, Serguei
AU - Torres, Miguel
AU - Quintero, Rolando
AU - Guzman, Giovanni
PY - 2009
Y1 - 2009
N2 - This paper presents an approach to measure the semantic similarity between digital elevation model (DEMs). We compute a semantic "distance" between concepts in hierarchical structure of geomorphologic application ontology. The method is composed of two stages: analysis and measurement. Analysis stage is focused on performing a geomorphometric analysis: a qualitative value (descriptor) representing a concept in ontology is assigned to each DEM's cell. Measurement stage is based on a comparison between the descriptors of two DEMs. In other words, we measure the semantic "distance" (called herein confusion) between two ontology concepts. The similarity is defined at two levels of measurement: local and global. The first one is defined at cell-level value and the second one considers the entire cells in a DEM. Thus, the similarity between two DEMs at the conceptual level is established. For instance, our methodology can detect that two DEMs share the same or similar geomorphologic features: plateau, downhill, etc.
AB - This paper presents an approach to measure the semantic similarity between digital elevation model (DEMs). We compute a semantic "distance" between concepts in hierarchical structure of geomorphologic application ontology. The method is composed of two stages: analysis and measurement. Analysis stage is focused on performing a geomorphometric analysis: a qualitative value (descriptor) representing a concept in ontology is assigned to each DEM's cell. Measurement stage is based on a comparison between the descriptors of two DEMs. In other words, we measure the semantic "distance" (called herein confusion) between two ontology concepts. The similarity is defined at two levels of measurement: local and global. The first one is defined at cell-level value and the second one considers the entire cells in a DEM. Thus, the similarity between two DEMs at the conceptual level is established. For instance, our methodology can detect that two DEMs share the same or similar geomorphologic features: plateau, downhill, etc.
KW - Digital elevation models
KW - Geomorphometric analysis
KW - Ontology
KW - Semantic similarity
UR - http://www.scopus.com/inward/record.url?scp=84879629503&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-00304-2_10
DO - 10.1007/978-3-642-00304-2_10
M3 - Contribución a la conferencia
AN - SCOPUS:84879629503
SN - 9783642003035
T3 - Lecture Notes in Geoinformation and Cartography
SP - 149
EP - 163
BT - Information Fusion and Geographic Information Systems - Proceedings of the 4th International Workshop, IF and GIS 2009
PB - Kluwer Academic Publishers
T2 - 4th International Workshop on Information Fusion and Geographic Information Systems, IF and GIS 2009
Y2 - 17 May 2009 through 20 May 2009
ER -