DocumentCode
2197392
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
fYear
2012
fDate
22-27 July 2012
Firstpage
2887
Lastpage
2890
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350723
Filename
6350723
Link To Document