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J Biomed Inform. 2016 Apr;60:23-37. doi: 10.1016/j.jbi.2015.12.014. Epub 2015 Dec 28.

Spark, an application based on Serendipitous Knowledge Discovery.

Author information

  • 1National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA. Electronic address: workmante@mail.nih.gov.
  • 2National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA.
  • 3University of Hawai'i, Library and Information Science Program, Department of Information and Computer Sciences, Honolulu, HI, USA.

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.

KEYWORDS:

Application development; Information-seeking behavior; Knowledge discovery

PMID:
26732995
DOI:
10.1016/j.jbi.2015.12.014
[PubMed - indexed for MEDLINE]
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