Measuring relevance theory's effects in an image-driven explorative information system

  • Authors:
  • G. Benoit

  • Affiliations:
  • Simmons College, The Fenway, Boston, MA

  • Venue:
  • Proceedings of the 2012 iConference
  • Year:
  • 2012

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Abstract

In information system, there are many techniques for extracting data, such as semantic elements from author, title, or subject tracings from MARC or other records, to express relationships within the data. The addition of visualization techniques stimulate the viewer because the graphic design of the data forms a purposive communicative act. Applying Sperber & Wilson's theory of relevance helps explicate a model of feature integration applicable to image-driven, user-guided exploration of digital collections. The model, implemented as an alternative search engine in a college library, is being tested in late 2012, and may result in creating a well-founded methodology for exploring repurposing digital objects for greater user engagement.