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<p>Created Fall 2026 PHI 489/579 Intelligence Analysis and Ontology Engineering course page</p> <p><b>New page</b></p><div>&#039;&#039;&#039;PHI 489/579: Intelligence Analysis and Ontology Engineering&#039;&#039;&#039;<br /> <br /> University at Buffalo, Fall 2026<br /> <br /> This course is cross-listed for undergraduate students as PHI 489 and graduate students as PHI 579.<br /> <br /> == Course Description ==<br /> <br /> This course integrates foundational principles of ontology engineering with contemporary research and practice in intelligence analysis.<br /> <br /> Students examine how ontology, semantic web technologies, and knowledge graphs can support the analysis of intelligence information. The course also considers foundational questions involving knowledge, truth, ethics, decision-making, cybersecurity, terrorism, military intelligence, and artificial intelligence in intelligence operations.<br /> <br /> Students will learn to apply ontology engineering methods to practical intelligence problems and to critically evaluate the role of semantic technologies in intelligence analysis.<br /> <br /> == Topics ==<br /> <br /> * Foundations of ontology engineering<br /> * Ontology design patterns<br /> * Top-down and bottom-up intelligence analysis<br /> * Military intelligence<br /> * Semantic web technologies and knowledge graphs<br /> * Cybersecurity<br /> * The ontology of terrorism<br /> * Secrets and information control<br /> * Ethics and artificial intelligence in intelligence operations<br /> * Practical ontology modeling for intelligence domains<br /> <br /> == Course Materials ==<br /> <br /> Course materials, lectures, readings, and slides are available through the [https://github.com/Applied-Ontology-Education/Ontology-and-Intel-Analysis-Fall-2024 Ontology and Intelligence Analysis GitHub repository].</div>

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