Knowledge Annotations in Scientific Workflows: An Implementation in Kepler
Abstract. Scientic research products are the result of long-term collaborations between teams. Scientic workfows are capable of helping scientists in many ways including the collection of information as to howresearch was conducted, e.g. scientic workfow tools often collect and manage information about datasets used and data transformations. However,knowledge about why data was collected is rarely documented in scientic workflows. In this paper we describe a prototype system built to support the collection of scientic expertise that infuences scientic analysis. Through evaluating a scientic research eort underway at Pacific Northwest National Laboratory, we identied features that would most benefit PNNL scientists in documenting how and why they conduct their research making this information available to the entire team. The prototype system was built by enhancing the Kepler Scientic Work-flow System to create knowledge-annotated scientic workfows and topublish them as semantic annotations.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1021282
- Report Number(s):
- PNNL-SA-77790; KJ0403000; TRN: US201116%%1165
- Resource Relation:
- Conference: 23rd Scientific and Statistical Database Management Conference (SSDBM 2011), July 20-22, 2011, Portland, Oregon. Lecture Notes in Computer Science, 6809:189-206
- Country of Publication:
- United States
- Language:
- English
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