Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraints-driven synthesis methods to obtain the workflows that match their intentions.
CITATION STYLE
Al-Areqi, S., Lamprecht, A. L., & Margaria, T. (2016). Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9788, pp. 134–150). Springer Verlag. https://doi.org/10.1007/978-3-319-42111-7_12
Mendeley helps you to discover research relevant for your work.