ONTOLOGY-SUPPORTED COMPLEX FEATURE DISCOVERY IN A WEB SERVICE ENVIRONMENT

被引：3

作者：

Di, Liping ^{[1
]}

Yue, Peng ^{[1
]}

Sun, Ziheng

机构：

[1] George Mason Univ, CSISS, Fairfax, VA 22030 USA

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Ontology; Task; Geoprocessing; Complex Feature; Geospatial Service;

D O I：

10.1109/IGARSS.2012.6350723

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：2887 / 2890

页数：4

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