Semantics based automatic geospatial service composition Although it has become common practice to build applications based on the reuse of existing components or services technical complexity and semantic challenges constitute barriers to ensuring a successful and wide reuse of components and services. In the geospatial application domain the barriers are self evident due to heterogeneous geographic data a lack of interoperability and complex analysis processes. Constructing workflows manually and discovering proper services and data that match user intents and preferences is difficult and time consuming especially for users who are not trained in software development. Furthermore considering the multi objective nature of environmental modeling for the assessment of climate change impacts and the various types of geospatial data (e.g. formats scales and georeferencing systems) increases the complexity challenges. Automatic service composition approaches that provide semantics based assistance in the process of workflow design have proven to be a solution to overcome these…