Ontology-supported complex feature discovery in a web service environment. Di, L., Yue, P., & Sun, Z. In 2012 IEEE International Geoscience and Remote Sensing Symposium, pages 2887–2890, July, 2012. doi abstract bibtex 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.
@inproceedings{di_ontology-supported_2012,
title = {Ontology-supported complex feature discovery in a web service environment},
doi = {10.1109/IGARSS.2012.6350723},
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.},
booktitle = {2012 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
author = {Di, L. and Yue, P. and Sun, Z.},
month = jul,
year = {2012},
keywords = {characteristic spatial relation, Complex Feature, detection task, Educational institutions, elementary feature, Feature extraction, geophysical image processing, Geoprocessing, Geospatial analysis, Geospatial Service, Ontologies, ontologies (artificial intelligence), Ontology, ontology-supported complex feature discovery, remote sensing, Remote sensing, remote sensing image, Semantics, service ontologies, spatial relationship, Task, task mapping, task modeling, Web service environment, Web services},
pages = {2887--2890},
file = {IEEE Xplore Abstract Record:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/TFHQ6DJ8/6350723.html:text/html;IEEE Xplore Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/KLHGLLJ2/Di et al. - 2012 - Ontology-supported complex feature discovery in a .pdf:application/pdf}
}
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