A context-driven approach for knowledge acquisition: Application to a leukaemia domain

Abstract

Knowledge acquisition processes (KAPs) could be simplified by means of extracting knowledge directly from natural language texts. This would simplify the KAP as knowledge engineers would become redundant in this process and knowledge could be acquired straight from experts. The approach presented here uses techniques from both knowledge acquisition and natural language recognition research areas. The KAP described is represented by means of ontologies and has been applied to the leukaemia domain.