Abstract
Risk management in several application domains is receiving increasing attention in the last years especially when the risk management must be pursued in a network made of interacting systems. The motivation is that although risk management models and techniques are mature enough to handle risk in the context of a single system, risk evaluation in the setting of a network of systems is much more difficult to model and manage. Because of the lack of awareness of risk, it is difficult to perceive risks propagation within the network of systems. On the other hand, the lack of shared goals and knowledge represents itself a risk, so that we need a good paradigm to organize and communicate information.
In this paper we first introduce a metamodel able to represent the fundamental structure from which distributed risk management models can be derived with respect to several application domains. This abstraction arises from an approach to risk management based on the definition of risk ontologies. A risk ontology is specialized to represent and share risk knowledge in a given application domain; changing the underlying ontology, the metamodel can be adapted to a new application domain so that the logic for risk management can be reused with a reasonable tailoring effort.
Two case studies are discussed in the paper as possible implementation of risk management systems based on the proposed metamodel.
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Nota, G., Aiello, R., Di Gregorio, M.P. (2010). Ontology Based Risk Management. In: Faggini, M., Vinci, C.P. (eds) Decision Theory and Choices: a Complexity Approach. New Economic Windows. Springer, Milano. https://doi.org/10.1007/978-88-470-1778-8_14
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DOI: https://doi.org/10.1007/978-88-470-1778-8_14
Publisher Name: Springer, Milano
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