Bisociative Knowledge Discovery

Volume 7250 of the series Lecture Notes in Computer Science pp 1-10

Open Access This content is freely available online to anyone, anywhere at any time.

Towards Bisociative Knowledge Discovery

  • Michael R. BertholdAffiliated withCarnegie Mellon UniversityNycomed Chair for Bioinformatics and Information Mining, Department of Computer and Information Science, University of Konstanz


Knowledge discovery generally focuses on finding patterns within a reasonably well connected domain of interest. In this article we outline a framework for the discovery of new connections between domains (so called bisociations), supporting the creative discovery process in a more powerful way. We motivate this approach, show the difference to classical data analysis and conclude by describing a number of different types of domain-crossing connections.