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| Titel |
Semantic Provenance Management for Large Scale Scientific Datasets |
| VerfasserIn |
P. Fox, D. L. McGuinness |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250030868
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| Zusammenfassung |
| Our work to date on semantic provenance in real-world data production
pipelines has lead to an emerging understanding of what the key annotations
of provenance collection requirements are for a broad varity of end users.
Having documented several of the image data pipelines for solar
physics instruments at the Mauna Loa Solar Observatory as well as almost
20 use cases from the instrument scientist, observers, data analysts and
managers, and end-user scientists, we have developed an initial infrastructure
that can be searched, queried or browsed by these users for purposes of specific
intereest to them. For example,
Our motivation behind a multi-stage approach to provenance as data and
information artifacts progress along processing pipelines, is that both the
quality and quantitative measures of uncertainty may be vastly improved when
treated in an end-to-end manner. This also reduces the likelihood that critical
information is left bahind or obscurely represented, making the later use of
impossible and wasting the time and effort of all involved.
We present the current stages of implementation of our provenance
infrastructure, tools and impact on what users are able to learn from
the annotated information streams. |
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