Using Rough Set theory to support OWSs semantic reasoning

This paper reports our research on utilizing discernibility matrix method of Rough Set (RS) theory to improve the OGC web services (OWSs) semantic search. Based on RS theory, we build a description vocabulary reduction model involving attributes and spatial relation for OWSs and implement knowledge reduction on Geographic Information Service (GISe) instance-database. Also, the semantic reasoning framework is generated to construct the prototype using the reduction model, which implements semantic search, reasoning and semantic similarity evaluation regarding to spatial relation. We expect this research to support GISe semantic search in an intelligent manner.