om Experimental Machine Learning to Interactive Data Mining, Faculty of Computer and Information
- J. Demsar, B. Zupin, Orange
- Science, University of Ljubljana,
Babylon Knowledge Explorer is an open source based platform for developing knowledge exploration and data mining applications. As a strongly ontology-driven information system, it rests on an approach and solution to the challenges of using pre-existing large ontologies in scientific domains. The aim of this paper is to describe the model of ontology representation employed by BKE and how this model supports a strategy and methodology facilitating application of these preexisting ontologies to real-world problems of knowledge discovery in large document corpora and databases. Sufficient detail of design and architecture is provided, together with some sketch of the open source implementation, to allow others to make use of this approach.