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Publishing L2TAP Logs to Facilitate SPARQL Query-based Privacy Auditing

  • Speaker: Professor Mariano Consens, Department of Information Engineering, MIE and CS, University of Toronto.
  • Date: Monday, 21 July 2014 from 15:00 to 16:00
  • Location: Room 745, Birkbeck Main Building

This talk describes a framework for publishing logs to support privacy auditing tasks that involve multiple auditors, an increasingly common requirement in the context of social computing and big data driven science. Our proposal is based on two ontologies, L2TAP and SCIP, designed for deployment in a Linked Data environment. L2TAP provides provenance enabled logging of events. SCIP synthesizes contextual integrity concepts and enables (SPARQL) query-based solutions for two important privacy processes (compliance and obligation derivation). The approach facilitates accountability and transparency among participants.

Bio:

Mariano Consens research interests are in the areas of Data Management and the Web, with a focus on linked data, graph data, analytics for semistructured data, privacy, XML searching, and autonomic systems. He has over 60 publications, including journal publications selected from best conference papers and several patents. Mariano received his PhD and MSc degrees in Computer Science from the University of Toronto. Consens is a University of Toronto faculty member and a Visiting Scientist at the IBM Center for Advanced Studies in Toronto. In addition, he has been active in the software industry as a founder and CTO of a couple of software startups, as well as a Visiting Scientist at Yahoo! Research.