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2016 | OriginalPaper | Buchkapitel

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

verfasst von : Samih Al-Areqi, Anna-Lena Lamprecht, Tiziana Margaria

Erschienen in: Computational Science and Its Applications -- ICCSA 2016

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel Spatial Modeling and Geovisualization of Rental Prices for Real Estate Portals
Nächstes Kapitel Urban Growth and Real Estate Income. A Comparison of Analytical Models
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Metadaten
Titel
Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts
verfasst von
Samih Al-Areqi
Anna-Lena Lamprecht
Tiziana Margaria
Copyright-Jahr
2016
Buch
Computational Science and Its Applications -- ICCSA 2016

Print ISBN: 978-3-319-42110-0

Electronic ISBN: 978-3-319-42111-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42111-7_12

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