Abstract
At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference knowledge. Next, we briefly discuss models and methodology of agent-oriented system analysis and design. In the third section, the semantic knowledge management framework of the system is reviewed. Finally, we recapitulate by discussing the usability of Ontorion based on a case study, in which an instance of software process simulation modelling environment is executed and further discussed. In the last section, we provide future work directions and put forward final conclusions.
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Kaplanski, P., Weichbroth, P. (2017). Cognitum Ontorion: Knowledge Representation and Reasoning System. In: Pełech-Pilichowski, T., Mach-Król, M., Olszak, C. (eds) Advances in Business ICT: New Ideas from Ongoing Research. Studies in Computational Intelligence, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-47208-9_3
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DOI: https://doi.org/10.1007/978-3-319-47208-9_3
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