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In order to manage complex situation and heterogeneous information during a forest fire event, this paper presents an ontology-based framework for data representation and interlinking of wildfire events that are being used to foster advanced reasoning, situational awareness and interpretation for decision support.

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This page is a summary of: Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies, September 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3549737.3549765.
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