Abstract
The paper presents the Platform Ontology of Cybersecurity (POC) as developed by the Pragmema team for big data analytics and early detection of cybersecurity incidents as needed in operational defense systems. The modeling of knowledge representation for threat intelligence, info sharing, and incidents reports is based on the theoretical assumptions provided by general linguistics (specifically text linguistics and pragmalinguistics), semantics and cognitive psychology in an AI perspective and turned into neural networks DDBB.
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