Spark, an application based on Serendipitous Knowledge Discovery

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

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.

Publication types

  • Research Support, N.I.H., Intramural

MeSH terms

  • Information Seeking Behavior*
  • Internet
  • Knowledge Bases*
  • Medical Informatics Applications*
  • Models, Theoretical
  • PubMed
  • Semantics
  • Software*
  • User-Computer Interface