TY - JOUR
T1 - An ontology-driven approach for the extraction and description of geographic objects contained in raster spatial data
AU - Quintero, Rolando
AU - Guzmán, Giovanni
AU - Menchaca-Mendez, Rolando
AU - Torres, Miguel
AU - Moreno-Ibarra, Marco
N1 - Funding Information:
Work partially sponsored by the Mexican National Polytechnic Institute (IPN) , by the Mexican National Council for Science and Technology (CONACyT) under grant 106692 and by the Research and Postgraduate Secretary (SIP) under grants 20101282 , 20101069 , 20101088 , 20100371 , and 20100417 .
PY - 2012/8
Y1 - 2012/8
N2 - In this paper, we present FERD, a methodology aimed to automatically identify, extract and describe relevant spatial objects contained in raster spatial datasets. Our objective is to provide a set of computational tools capable of finding landforms contained in the datasets that match human-friendly descriptions such as "In this model there is a mountain having a maximum altitude of 302 m, located between coordinates (19.09383°N, 99.85541°W) and (19.09393°N, 99.85554°W)". The proposed methodology is composed of three main stages: in the first stage (conceptualization), the knowledge domain is represented by means of ontologies. In the second stage (synthesis) a novel semantic decomposition algorithm is used to identify and extract relevant spatial objects from the spatial dataset. In the last stage (description), the geographic objects extracted in the second stage are mapped to concepts (objects of the knowledge domain) generated in the first stage. The final result is a set of metadata that describes the geomorphologic objects contained in the raster dataset.
AB - In this paper, we present FERD, a methodology aimed to automatically identify, extract and describe relevant spatial objects contained in raster spatial datasets. Our objective is to provide a set of computational tools capable of finding landforms contained in the datasets that match human-friendly descriptions such as "In this model there is a mountain having a maximum altitude of 302 m, located between coordinates (19.09383°N, 99.85541°W) and (19.09393°N, 99.85554°W)". The proposed methodology is composed of three main stages: in the first stage (conceptualization), the knowledge domain is represented by means of ontologies. In the second stage (synthesis) a novel semantic decomposition algorithm is used to identify and extract relevant spatial objects from the spatial dataset. In the last stage (description), the geographic objects extracted in the second stage are mapped to concepts (objects of the knowledge domain) generated in the first stage. The final result is a set of metadata that describes the geomorphologic objects contained in the raster dataset.
KW - Ontology
KW - Raster data
KW - Semantics
UR - http://www.scopus.com/inward/record.url?scp=84859213992&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2012.02.033
DO - 10.1016/j.eswa.2012.02.033
M3 - Artículo
AN - SCOPUS:84859213992
SN - 0957-4174
VL - 39
SP - 9008
EP - 9020
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 10
ER -