Abstract
In today’s world, decision support and knowledge management processes are strategic and interdependent activities in many organizations. The companies’ interest on a correct knowledge management is grown, more than interest on the mere knowledge itself. This paper proposes a Knowledge Management System based on Bayesian networks. The system has been tested collecting and using data coming from projects and processes typical of ICT companies, and provides a Document Management System and a Decision Support system to share documents and to plan how to best use firms’ knowledge.
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Ribino, P., Oliveri, A., Re, G.L., Gaglio, S. (2009). A Knowledge Management System Using Bayesian Networks. In: Serra, R., Cucchiara, R. (eds) AI*IA 2009: Emergent Perspectives in Artificial Intelligence. AI*IA 2009. Lecture Notes in Computer Science(), vol 5883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10291-2_45
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DOI: https://doi.org/10.1007/978-3-642-10291-2_45
Publisher Name: Springer, Berlin, Heidelberg
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