Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Independent from specific application domains, similar requirements can be identified regarding information needs during daily work. For coping with generality on the one hand an...
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
Abstract. We describe work aimed at cost-constrained knowledge discovery in the biomedical domain. To improve the diagnostic/prognostic models of cancer, new biomarkers are studied...
We are concerned with forms of interaction in which multiple users, with differing agendas and interests, may realise opportunities for useful synchronisation of their activities. ...