CSDMS 2015 annual meeting poster PeishiJiang
Semantics-Enabled Paradigm for Model Integration
Mostafa Elag, University of Illinois at Urbana-Champaign, Illinois, United States.
Praveen Kumar, University of Illinois at Urbana-Champaign, Illinois, United States.
Semantic Web technologies provide a networked-based information system and interface for publishing and discovering shared data, models, and services. Semantic Web technologies provide a better discovery method by exploiting the semantics attached to the shared objects. In this research, we develop a semantics-enabled approach to allow the integration and re-use of hydrology models across various related disciplines. The semantics-enabled approach requires that each model define a web service interface that allows it to be integrated with client, i.e. another model, and provide a descriptive information about the model operation condition and attributes. This information is stored in a RDF graph database to allow the automatic reasoning on the dependencies between models. In this poster, we present an interface design to couple hydrology models as web services, ensure their semantic consistency, and demonstrate how it can correct the semantic mismatch in the attributes between hydrology models.
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