Artificial Intelligence for Knowledge Management with BPMN and Rules

Antoni Ligęza (1) , Tomasz Potempa (2)

1 AGH UST - AGH University of Science and Technology [Krakow, PL]
2 Higher School of Tarnów

This paper presents a framework combining BPMN and BR as a tool for Knowledge Management (KM). An attempt at providing a common model supported with Artificial Intelligence (AI) techniques and tools is put forward. Through an extended example it is shown how to combine BPMN and BR and how to pass to semantic level enabling building executable specifications and knowledge analysis. Some of the problems concerning these two approaches can be to certain degree overcome thanks to their complementary nature. We only deal with a restricted view of Knowledge Management, where knowledge can be modeled explicitly in a formal representation, and it does not take into account the hidden, personal knowledge.

Domaines: Informatique [cs]

Antoni Ligęza, Tomasz Potempa. Artificial Intelligence for Knowledge Management with BPMN and Rules. 1st IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Aug 2012, Montpellier, France. pp.19-37, ⟨10.1007/978-3-642-54897-0_2⟩. ⟨hal-01256584⟩