TY - GEN
T1 - Spatial data description by means of knowledge-based system
AU - De Oca, Víctor Montes
AU - Torres, Miguel
AU - Levachkine, Serguei
AU - Moreno, Marco
PY - 2006
Y1 - 2006
N2 - In this paper, we propose the use of a knowledge based system, which has been implemented in SWI-Prolog to approach the automatic description of spatial data by means of some logic rules. The process to establish the predicates is based on the topological and geometrical analysis of spatial data. These predicates are handled by a set of rules, which are used to find the relations between geospatial objects. Moreover, the rules aid the searching of several features that compose the partition of topographic maps. For instance, in the case that any road intersects with other, we appreciate that a connection relation exists between different destinies, which can be accessed by these roads. Furthermore, the rules help us to know each possible access for this case. Therefore, this description assists in the tasks of geospatial data interpretation (map description) in order to provide quality information for spatial decision support systems.
AB - In this paper, we propose the use of a knowledge based system, which has been implemented in SWI-Prolog to approach the automatic description of spatial data by means of some logic rules. The process to establish the predicates is based on the topological and geometrical analysis of spatial data. These predicates are handled by a set of rules, which are used to find the relations between geospatial objects. Moreover, the rules aid the searching of several features that compose the partition of topographic maps. For instance, in the case that any road intersects with other, we appreciate that a connection relation exists between different destinies, which can be accessed by these roads. Furthermore, the rules help us to know each possible access for this case. Therefore, this description assists in the tasks of geospatial data interpretation (map description) in order to provide quality information for spatial decision support systems.
UR - http://www.scopus.com/inward/record.url?scp=33845227709&partnerID=8YFLogxK
U2 - 10.1007/11892755_52
DO - 10.1007/11892755_52
M3 - Contribución a la conferencia
AN - SCOPUS:33845227709
SN - 3540465561
SN - 9783540465560
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 502
EP - 510
BT - Progress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings
PB - Springer Verlag
T2 - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006
Y2 - 14 November 2006 through 17 November 2006
ER -