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| Titel |
Ontology development for provenance tracing in National Climate Assessment of the US Global Change Research Program |
| VerfasserIn |
Linyun Fu, Xiaogang Ma, Jin Zheng, Justin Goldstein, Brian Duggan, Patrick West, Steve Aulenbach, Curt Tilmes, Peter Fox |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250088272
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| Publikation (Nr.) |
 EGU/EGU2014-2360.pdf |
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| Zusammenfassung |
| This poster will show how we used a case-driven iterative methodology to develop an ontology to represent the content structure and the associated provenance information in a National Climate Assessment (NCA) report of the US Global Change Research Program (USGCRP). We applied the W3C PROV-O ontology to implement a formal representation of provenance.
We argue that the use case-driven, iterative development process and the application of a formal provenance ontology help efficiently incorporate domain knowledge from earth and environmental scientists in a well-structured model interoperable in the context of the Web of Data. |
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