Monitoring Event Flows and Modelling Scenarios for Crisis Prediction, Application to Ethnic Conflicts Forecasting

Abstract : We have developed an early warning prototype, based on a knowledge management approach, so as to carry out the online detection of crises. Experts, with the help of automatic tools, design an ontology describing domain-specific crisis eruption processes. Then a recognition engine performs model-based inference, in order to identify among the events feeding the system, typical sequences that might trigger a crisis. Crises are described in the ontology through the template technique which provides also mechanisms to assess the similarity between stored scenarios and event flows related to the monitored process. This technique takes into account imperfect knowledge and uncertainties: for instance, imprecise temporal constraints between events are represented by fuzzy sets.
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https://hal.archives-ouvertes.fr/hal-01172239
Contributor : Lip6 Publications <>
Submitted on : Tuesday, July 7, 2015 - 10:47:03 AM
Last modification on : Thursday, March 21, 2019 - 1:11:27 PM

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Thomas Delavallade, Laure Mouillet, Bernadette Bouchon-Meunier, Emmanuel Collain. Monitoring Event Flows and Modelling Scenarios for Crisis Prediction, Application to Ethnic Conflicts Forecasting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2007, 15 (S1), pp.83-110. ⟨10.1142/S0218488507004479⟩. ⟨hal-01172239⟩

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