Title :
Ontology-supported complex feature discovery in a web service environment
Author :
Di, Liping ; Yue, Peng ; Sun, Ziheng
Author_Institution :
Center for Spatial Inf. Sci. & Syst. (CSISS), George Mason Univ., Fairfax, VA, USA
Abstract :
Web service technologies have shown great promise for rapid feature discovery from large volumes of remote sensing images. A complex feature is spatially composed of elementary features. The spatial relationships among elementary features can be used to discover complex features. This paper presents an ontology supported approach for detection task of complex features. The characteristic spatial relations for complex features are formalized and used for task modeling. Tasks are mapped to service ontologies to facilitate the creation of service chains. A prototype system is developed to demonstrate the applicability of the approach.
Keywords :
Web services; geophysical image processing; ontologies (artificial intelligence); remote sensing; Web service environment; characteristic spatial relation; detection task; elementary feature; ontology-supported complex feature discovery; remote sensing image; service ontologies; spatial relationship; task mapping; task modeling; Educational institutions; Feature extraction; Geospatial analysis; Ontologies; Remote sensing; Semantics; Web services; Complex Feature; Geoprocessing; Geospatial Service; Ontology; Task;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350723