Exposing, formalizing and reasoning over the latent semantics of tags in multimodal data sources

  • Authors:

  • John Tyler;Jon Pastor;Michael N. Huhns;Shad Kirmani;Hongying Du

  • Affiliations:

  • Altamira Technologies Corporation, McLean, VA, USA. E-mail: John.tyler@altamiracorp.com;College of Information Science and Technology, Drexel University, Philadelphia, PA, USA. E-mail: jon.a.pastor@drexel.edu;Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA. E-mails: huhns@sc.edu, shad.kirmani@gmail.com, du5@email.sc.edu;Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA. E-mails: huhns@sc.edu, shad.kirmani@gmail.com, du5@email.sc.edu;Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA. E-mails: huhns@sc.edu, shad.kirmani@gmail.com, du5@email.sc.edu

  • Venue:
  • Applied Ontology
  • Year:
  • 2013

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Abstract

This paper describes our solution to the problem of inducing ontological information from metadata provided informally. The metadata is in the form of linguistic tags attached to items in an on-line domain. We formulate four hypotheses about the structure implicit in a set of tags and evaluate them using data from public tag sets. The results confirm three of the four hypotheses and show that it is feasible for ontological information --specifically subclass relationships --to be made explicit and hence available for inferencing.