Data exploration for bisociative knowledge discovery: a brief overview of tools and evaluation methods

  • Authors:
  • Tatiana Gossen;Marcus Nitsche;Stefan Haun;Andreas Nürnberger

  • Affiliations:
  • Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany;Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany;Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany;Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany

  • Venue:
  • Bisociative Knowledge Discovery
  • Year:
  • 2012

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Abstract

In this chapter we explain the definition of the term (data) exploration. We refine this definition in the context of browsing, navigating and searching. We provide a definition of bisociative exploration and derive requirements on user interfaces, which are designed to support bisociative knowledge discovery. We discuss how to support subtasks of bisociative data exploration with appropriate user interface elements. We also present a set of exploratory tools, which are currently available or in development. Finally, we discuss the problem of usability evaluation in the context of exploratory search. Two main issues - complexity and comparability - are explained and possible solutions proposed.