OntoGen: semi-automatic ontology editor
Proceedings of the 2007 conference on Human interface: Part II
Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining
The Computer Journal
Semi-automatic construction of topic ontologies
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Towards creative information exploration based on koestler's concept of bisociation
Bisociative Knowledge Discovery
Applications and evaluation: overview
Bisociative Knowledge Discovery
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The bile acid and xenobiotic system describes a biological network or system that facilitates detoxification and removal from the body of harmful xenobiotic and endobiotic compounds. While life scientists have developed a relatively comprehensive understanding of this system, many mechanistic details are yet to be discovered. Critical mechanisms are those which are likely to significantly further our understanding of the fundamental components and the interaction patterns that govern this systems gene expression and the identification of potential regulatory nodes. Our working assumption is that a creative information exploration of available bile acid and xenobiotic system information could support the development (and testing) of novel hypotheses about this system. To explore this we have set up an information space consisting of information from biology and finance, which we consider to be two semantically distant knowledge domains and therefore have a high potential for interesting bisociations. Using a cross-context clustering approach and outlier detection, we identify bisociations and evaluate their value in terms of their potential as novel biological hypotheses.