Ontology and Cognitive Outcomes (preprint)

In arXiv (2020)
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The intelligence community relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts.
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Building Ontologies with Basic Formal Ontology.Arp, Robert; Smith, Barry & Spear, Andrew D.
Integration of Intelligence Data Through Semantic Enhancement.Salmen, David; Malyuta, Tatiana; Hansen, Alan; Cronen, Shaun & Smith, Barry

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