Architecture for semantic web service composition in spatial data infrastructures

The importance of geospatial data has rendered it to be used in decision-making in both public and private sectors. The purpose of this study was to employ Semantic Web Technology (SWT) for the problems of Web Service Composition (WSC) in the context of Spatial Data Infrastructures (SDI). Some of these problems are identifying the workflow sequence and the user goal, discovering services according to service parameters, and matching these parameters. As a suggestion for the solution of all these problems a semi-automated WSC architecture was proposed in this study. In terms of architecture, users state their 'goal' with a natural language sentence. By semantically matching this sentence with a Spatial Services Ontology (SSO), the corresponding 'abstract' WSC was 'located' and the 'concrete' WSC was formed. Although there are still problems waiting to be solved due to the scope of the work, this study makes a valuable contribution to the area.