Cognitum Ontorion: Knowledge Representation and Reasoning System
Pawel Kaplanski, Pawel Weichbroth
Citation: Position Papers of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 6, pages 177–184 (2015)
Abstract. ``If knowledge can create problems, it is not through ignorance that we can solve them.'' (Isaac Asimov). Nevertheless, at any point of human activity, knowledge (besides practice) is a key factor in understanding and solving any given problem. Nowadays, computer systems have the ability to support their users in an efficient and reliable way. In this paper we present and describe the functionality of the Cognitum Ontorion system. Firstly, we identify emerging issues focused on knowledge representation and reasoning. Secondly, we briefly discuss models and methodology of agent-oriented analysis and design. Next, the semantic knowledge management framework of the system is reviewed. Finally, the usability of Ontorion is argued based on a case study, in which a software process simulation modeling environment is developed. At the end we provide future work directions and final conclusions.