This paper explores the use of ontological engineering as a solution for solving complex problems in real-world applications. More specifically, ontology engineering is suggested as a unified approach to problem solving in areas where procedural knowledge is complex and dynamic. The ontological formalism enables the establishment of robust semantic relationships between declarative knowledge and procedural rules, facilitating automated reasoning processes that yield promising results for intelligent tutoring systems. To demonstrate the framework’s effectiveness, we present an aeronautical case study involving the development and implementation of comprehensive task and domain ontologies for Airbus A320 piloting procedures. Furthermore, we illustrate two significant extensions of this framework: (1) its adaptation for cognitive agent development, and (2) its application in cognitive-load management during aircraft piloting tasks.