Mereotopology: a theory of parts and boundaries
Data & Knowledge Engineering - Special issue on modeling parts and wholes
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
CIMS: a framework for infrastructure interdependency modeling and analysis
Proceedings of the 38th conference on Winter simulation
Creating Emergency Management Training Simulations through Ontologies Integration
CSEWORKSHOPS '08 Proceedings of the 2008 11th IEEE International Conference on Computational Science and Engineering - Workshops
Designing ontologies for higher level fusion
Information Fusion
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Critical infrastructure systems currently conform highly complex and interdependent networks. While simulation models exist for different infrastructure domains, they are not always available when incidents are unfolding, and in many cases they cannot predict the cascading effect of failures that cross domains, or they are not able to support the rapid situation assessment required in response phase. To address a high-level view of the incidents in a given situation, both expert and domain knowledge and also computational models cross-cutting infrastructure systems are required. This paper describes the main elements of a basic formal infrastructure incident assessment ontology (BFiaO) that factors out the main elements required for applications dealing with incident assessment. Such ontology is intended to be extended with the specifics of each domain and infrastructure network. Situation assessment knowledge including reasoning can be captured with rules that suggest potential risks given the interdependency patterns in the network, having the outcomes of these rules different status according to their sources. Examples of this kind of risk-oriented assessment are provided.