Provenance Explorer -- Tailored Provenance Views Using Semantic Inferencing
A paper written by Kwok Cheung and Jane Hunter. It was presented at the ISWC2006.
[edit] Abstract
This paper presents Provenance Explorer, a secure provenance visualization tool, designed to dynamically generate customized views of scientific data provenance that depend on the viewer's requirements and/or access privileges. Using RDF and graph visualizations, it enables scientists to view the data, states and events associated with a scientific workflow in order to understand the scientific methodology and validate the results. Initially the Provenance Explorer presents a simple, coarse-grained view of the scientific process or experiment. However the GUI allows permitted users to expand links between nodes (input states, events and output states) to reveal more fine-grained information about particular sub-events and their inputs and outputs. Access control is implemented using Shibboleth to identify and authenticate users and XACML to define access control policies. The system also provides a platform for publishing scientific results. It enables users to select particular nodes within the visualized workflow and drag-and-drop them into an RDF package for publication or e-learning. The direct relationships between the individual components selected for such packages are inferred by the rule-inference engine.
The schedule for this talk can be found in the conference programme and a linked list of all talks is provided in the article on ISWC2006 papers. This article has originally been created from the RDF metadata for ISWC 2006.
