Knowledge annotations in scientific workflows: an implementation in Kepler

Authors:
Aída Gándara;George Chin, Jr.;Paulo Pinheiro Da Silva;Signe White;Chandrika Sivaramakrishnan;Terence Critchlow
Affiliations:
Cyber-ShARE, The University of Texas at El Paso, El Paso, TX;Pacific Northwest National Laboratory, Richland, WA;Cyber-ShARE, The University of Texas at El Paso, El Paso, TX;Pacific Northwest National Laboratory, Richland, WA;Pacific Northwest National Laboratory, Richland, WA;Pacific Northwest National Laboratory, Richland, WA
Venue:
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Year:
2011

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Abstract

Scientific research products are the result of long-term collaborations between teams. Scientific workflows are capable of helping scientists in many ways including collecting information about how research was conducted (e.g., scientific workflow tools often collect and manage information about datasets used and data transformations). However, knowledge about why data was collected is rarely documented in scientific workflows. In this paper we describe a prototype system built to support the collection of scientific expertise that influences scientific analysis. Through evaluating a scientific research effort underway at the Pacific Northwest National Laboratory, we identified 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 Scientific Workflow System to create knowledge-annotated scientific workflows and to publish them as semantic annotations.