Semantic discovery of OGC WPS-based remote sensing image processing

Spatial data infrastructures are currently being set up within regions, countries and across national border. In SDIs, the data sharing is replaced by the service sharing gradually. Many geospatial services are provided on the internet, WPS-based remote sensing image processing is a special type in these services, it can differ widely in their functionality. Current (keyword-based) approaches to service discovery are inherently restricted by the ambiguities of natural language, which can lead to low precision and/or recall. In order to overcome this limitation, WSMO is chosen as the description framework of service, and a semantic discovery method based on logic programming is used to match the service description. In result, search results are more accurately, the semantic heterogeneity could be solved.