An Approach to Evaluate Scientist Support in Abstract Workflows and Provenance Traces
Abstract workflows are useful to bridge the gap between scientists and technologists towards using computer systems to carry out scientific processes. Provenance traces provide evidence required to validate results and support their reuse. Assuming both technologies are based on formal semantics, a knowledge-based system that consistently merges both technologies is useful for scientists that produce data to document their data collecting and transformation processes; it is also useful for scientists that reuse data to assess scientific processes and resulting datasets produced by others. While evaluation of each technology is necessary for a given application, this work discusses their combined evaluation. The claim is that both technologies should complement each other and align consistently to a scientist’s perspective in order to be effective for science. Evaluation criteria are proposed based on lessons learned and exemplified for discussion.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1078016
- Report Number(s):
- PNNL-SA-88393
- Resource Relation:
- Conference: Discovery Informatics Symposium: The Role of AI Research in Innovating Scientific Processes: Papers from the 2012 AAAI Fall Symposium, November 2–4, 2012, Arlington, Virginia, (Technical Report FS-12-03):45-51
- Country of Publication:
- United States
- Language:
- English
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