Purdue University

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Visible to the public A Comprehensive Provenance Model

Submitted by Katie Dey on Tue, 12/11/2012 - 9:44pm. Contributors:

The provenance captured from different layers of abstraction (workflow/process/OS) provides the highest benefit when integrated through a unified provenance framework. To build such a framework, a comprehensive provenance model able to represent the provenance of data objects with various semantics and granularity is the first step. In this poster we present a provenance model able to represent the provenance of any data object captured at any abstraction layer and present an abstract schema of the model.

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Visible to the public Generalizing Text to Protect Privacy

Submitted by Katie Dey on Tue, 11/27/2012 - 12:27am. Contributor:

Textual data can contain highly sensitive and identifying information; redaction is a difficult process that can make text unreadable and useless for many purposes. This poster describes an alternative: using ontologies to generalize words, resulting in text that is less sensitive, but still preserves meaning in a way that redacted data does not.