Presenting Provenance Based on User Roles Experiences with a Solar Physics Data Ingest System Patrick West, James Michaelis, Peter Fox, Stephan Zednik, Deborah McGuinness – Tetherless World Constellation (http://tw.rpi.edu) – Rensselaer Polytechnic Institute (http://www.rpi.edu) AGUFM2010-IN43C-05 1
Presenting Provenance Based on User Roles. Experiences with a Solar Physics Data Ingest System. Patrick West, James Michaelis, Peter Fox, Stephan Zednik, Deborah McGuinness – Tetherless World Constellation (http://tw.rpi.edu) – Rensselaer Polytechnic Institute (http://www.rpi.edu). - PowerPoint PPT Presentation
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Presenting ProvenanceBased on User Roles
Experiences with a Solar Physics Data Ingest System
Patrick West, James Michaelis, Peter Fox,Stephan Zednik, Deborah McGuinness – Tetherless World Constellation (http://tw.rpi.edu) – Rensselaer Polytechnic Institute (http://www.rpi.edu)
AGUFM2010-IN43C-05
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Outline of Presentation
• Prior Work in Selective Provenance Presentation• Rationale for User Roles in Presentation• Our Focus Area:
• Semantic Provenance Capture in Data Ingest Systems (SPCDIS)
• Advanced Coronal Observing System (ACOS)• Applying user roles to provenance
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Prior Work• Significant prior work on provenance views +
abstractions (Moreau, 2009)• Two kinds approaches:
• Expanding Abstract Provenance (Hunter, 2007)• Start with abstract provenance, expand to fine
grained• Abstracting Fine Grained Provenance (Davidson,
2008)• Start with fine-grained, select desired
components, then abstract away unwanted detail
• Common goal: manage complexity of provenance
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Complexity
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Kinds of Users
• In context of a Solar Physics Data System, two kinds of expertise:
• Compute Sample Means• Determine Test Channel• Assign Good/Bad/Ugly Rating
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Applying user roles
• Semantic Web (RDFS/OWL) Ontologies for defining domain knowledge needed. Specifically for defining:• Workflow components.• User roles.• Component-Role Mapping.
RDFs – Resource Description Framework schemaOWL – Web Ontology Language
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Ongoing Issues• Some inherent challenges
• Deciding on how to map components to roles.• Will a given user necessarily fit into one of the pre-
defined roles?• Key research question pursued
• For preserving provenance interface usability, what a good middle ground between:• Going from abstract to fine-grained provenance• As well as fine-grained to abstract provenance
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Summary• Managing complexity is an important activity for
presenting provenance.• Just providing drill-down from abstract to more
detailed views or fine-grained selection is not enough.
• The user can be provided an initial presentation of content based on their level of knowledge, from general interest to domain expert.
• What is needed is an approach that provides the right level of initial explanation based on the user’s role.
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References• L. Moreau, 2009. “The foundations for provenance
on the web.”• K. Cheung, J. Hunter, and Lashtabeg, A. and J.
Drennan “SCOPE: a scientific compound object publishing and editing system.” International Journal of Digital Curation, 3(2), 2008.
• S. Cohen-Boulakia, O. Biton, S. Cohen and S. Davidson “Addressing the provenance challenge using ZOOM.” Concurrency and Computation: Practice and Experience, 20(5), p. 497-506, 2008.