A Computational Framework for Identity and Its Web-based Realization

نویسندگان

  • William Nick
  • Madison Mccotter
  • Siobahn Day
  • Marguerite McDaniel
  • Hannah Foster
  • Emma Sloan
  • James Mayes
  • Albert C. Esterline
چکیده

This paper presents a computational framework for identity and is particularly focused on identifying the culprit in a crime-scene investigation. A case is conceptualized as a constellation of situations in the sense of Barwise’s situation theory. Data on a case is stored as RDF triples in a triple store. Several relevant OWL ontologies have been developed and supplemented with SWRL rules. Uncertainty and combining levels of (possibly conflicting) evidence are handled with Dempster-Shafer theory. A webpage is being developed to make available to students of criminal justice the results of our work. The user will be able to query about evidence and follow how it accrues to various hypotheses.

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تاریخ انتشار 2017