In this paper, we propose the use of fine-grain process modelling as an aid to software development. We suggest the use of two levels of granularity, one at the level of the indiv...
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
Abstract. In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning. GIPO assists in the knowledge f...
This work-in-progress report subsumes our ongoing research to develop a Topic Maps centric, modularised system which supports collaborative software development by combining the me...
Even if a problem solving method and a domain ontology has been identified, there still remains the problem of adding sufficient and consistent domain knowledge to a knowledge proc...
Thorsten Liebig, Dieter Finkenzeller, Marko Luther