A Knowledge Management System Using Bayesian Networks

  • Authors:
  • Patrizia Ribino;Antonio Oliveri;Giuseppe Lo Re;Salvatore Gaglio

  • Affiliations:
  • Dipartimento di Ingegneria Informatica (DINFO), Universita' degli Studi di Palermo, Palermo, Italy;Dipartimento di Ingegneria Informatica (DINFO), Universita' degli Studi di Palermo, Palermo, Italy;Dipartimento di Ingegneria Informatica (DINFO), Universita' degli Studi di Palermo, Palermo, Italy;Dipartimento di Ingegneria Informatica (DINFO), Universita' degli Studi di Palermo, Palermo, Italy

  • Venue:
  • AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
  • Year:
  • 2009

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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.