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Constraints-driven automatic geospatial service composition: workflows for the analysis of sea-level rise impacts

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conference contribution
posted on 2017-02-07, 16:16 authored by Samih Al-Areqi, Anna-Lena Lamprecht, Tiziana MargariaTiziana Margaria
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.

History

Publication

Computational Science and Its Applications ICCSA 2016: Lecture Notes in Computer Science;9788, pp. 134-150

Publisher

Springer

Note

peer-reviewed

Other Funding information

SFI

Rights

The original publication is available at www.springerlink.com

Language

English

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