Conceptual Structures for Knowledge Engineering and Knowledge Modelling

This paper outlines the result of the discussions that took place at the Ninth Knowledge Acquisition Workshop in Banff, Canada, in February 1995 (KAW'95). The authors attempt to summarise the current efforts in using the Conceptual Graphs (CGs) for knowledge acquisition and modelling expertise. The work on CGKAT, [KADS]->(ON)->[CG], CG-DESIRE, and MODEL-ECS are briefly outlined. In addition to this, a list of limitations as seen by the Knowledge Acquisition Community is outlined, together with a list of requirements that is specifically solicited by the KA-Community to enable them to actively utilise CG as a modelling and representation formalism for building knowledge-based systems. We further outlined how and where CG could make effective contributions in the areas of knowledge acquisition. Finally, we present the areas of research that is severely lacking and the future work to be carried out, in particular, work on evaluation of the methodologies, systems, and tools using CG for knowledge acquisition and modelling.