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DESCRIPTION:Click for Latest Location Information: http://semtech2010.semanticuniverse.com/sessionPop.cfm?confid=42&proposalid=2932\nMany applications have been created that interact with RDF: some query RDF via SPARQL endpoints, while others help visualize RDF data. Yet coupling both functions is essential in order to support interactive analytics on RDF content. Furthermore, RDF technologies should attempt to work with existing software that has a large community base. An example of this in the life sciences is the open-source Cytoscape application, which has a strong following and allows scientists to view and analyze complex gene and protein relations via rich graphs.\nWe describe here the S*QL plug-in technology which extends the Cytoscape architecture to handle RDF querying and visualization by supporting these analytic processes:\n<ul>\n<li>Query both SPARQL and RDBM (SQL) endpoints</li>\n<li>Visualize multiple data sources</li>\n<li>Propose and examine patterns within a single data space</li>\n<li>Examine implications of selected patterns across multiple displays, data tables</li>\n<li>Export selections with descriptive (semantic) meta-data</li>\n</ul>\nWe apply S*QL to pathway data (BioPax) as well as Clinical Trials data.
DTSTART:20100623T163000
SUMMARY:Visual Analysis of the Web of Linked Data: The S*QL Plugin for Cytoscape
DTEND:20100623T165959
LOCATION: See Description
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