CONTEXT-INFUSED ONTOLOGY FOR KNOWLEDGE MODELS

Techniques, systems, architectures, and methods for efficient and accurate intelligence gathering comprising extensions to Knowledge Modeling (KM) schema that allow for the capture of additional contextual parameters, allowing analysts to capture additional data and information capable of answering "Who, What, When, and Where" type questions with respect to an adversary's behavior and processes.