Spark, an application based on Serendipitous Knowledge Discovery.

Journal: Journal of biomedical informatics
Published Date: Apr 1, 2016

Abstract

Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known as semantic predications. Background information and the previously published IF-SKD model (outlining Serendipitous Knowledge Discovery in online environments) illustrate the potential use of information-seeking behavior in application design. A detailed overview of the Spark system illustrates how methodologies in design and retrieval functionality enable production of semantic predication graphs tailored to evoke Serendipitous Knowledge Discovery in users.

Authors

  • T Elizabeth Workman
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Marcelo Fiszman
    Lister Hill National Center for Biomedical Communications U.S. National Library of Medicine Bethesda, MD.
  • Michael J Cairelli
    National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA.
  • Diane Nahl
    University of Hawai'i, Library and Information Science Program, Department of Information and Computer Sciences, Honolulu, HI, USA.
  • Thomas C Rindflesch
    National Library of Medicine, Bethesda, MD, USA.

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