SensorML过程模型的实现和配置文件库

This open source project is a repository for executable SensorML process model instances, as well as RelaxNG profiles of the core SensorML schema. The project was initiated by the VAST Team at the University of Alabama in Huntsville (UAH) but is now maintained by Sensia Software and Botts Innovative Research, Inc. Executable processes are meant to be executed with the process chain execution engine provided by the SensorML Data Processing project. This project also relies on the SWE Common Data Model Framework, and the OWS Service Framework also on Google Code.