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Constraints-driven automatic geospatial service composition: workflows for the analysis of sea-level rise impacts
Al-Areqi, Samih; Lamprecht, Anna-Lena; Margaria, Tiziana
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 constraintsdriven synthesis methods to obtain the workflows that match their intentions.
Keyword(s): geospatial services; service composition; scientific workflows; semantic domain modeling; ontologies; climate impact analysis
Publication Date:
2016
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Funder(s): Science Foundation Ireland
Citation(s): Computational Science and Its Applications ICCSA 2016: Lecture Notes in Computer Science;9788, pp. 134-150
http://dx.doi.org/10.1007/978-3-319-42111-7_12
13/RC/2094
Publisher(s): Springer
First Indexed: 2017-02-09 05:52:58 Last Updated: 2017-02-09 05:52:58