An ontology-mediated scenario composer for knowledge acquisition in intelligent systems

The acquisition of decision-quality tacit knowledge from domain experts has been an important issue in the realm of knowledge management and intelligent systems. We present a Tacit Knowledge Acquisition Info-structure (TKAI) that allows remote domain experts to record their tacit knowledge via a novel tacit knowledge acquisition construct called Scenarios. In this info-structure, an ontology is employed to enforce standardisation in view that tacit knowledge is deemed to be hierarchical in structure and personal in nature. The Extensible Markup Language (XML) is also featured to encode the acquired scenario instances and to facilitate their transfer over the Internet for the global sharing of the acquired tacit knowledge. XML also allows the translation of scenario instances into other representational languages that are deemed more appropriate for specific tasks