<p>The conceptual and theoretical challenges that have constrained advances in the behavioral sciences motivated a 2022 report from the National Academy of Sciences, Engineering, and Medicine titled <i>Ontologies in the Behavioral Sciences: Accelerating Research and the Spread of Knowledge.</i> Ontologies provide a means of addressing these challenges by constructing a hierarchy of proposed terms and relationships. Adding formal logical statements has the additional advantage of applying computer-implemented reasoning to make deductive inferences from this knowledge. The report made six general recommendations that included accelerating behavioral science research through the development of formal ontologies and integrating ontology development into graduate level teaching. I propose a possible road map for this journey by making nine recommendations in three sections on formulating, integrating, and combining knowledge. Formulating knowledge requires specifying the knowledge that will become embedded in ontologies and codifying the knowledge as premises. Integrating knowledge requires linking formal systems of reasoning such as WordNet for definitions, FrameNet for representing thematic knowledge, and the Suggested Upper Merged Ontology for representing taxonomic knowledge. Combining knowledge requires linking ontologies to other ontologies and to methods that support statistical reasoning and machine learning. The article concludes by situating ontologies within the broader topic of artificial intelligence, including its regulation and societal impact.</p>