Improved Public Health Ontologies in the Era of Generative AI Technologies

Abstract

Generative artificial intelligence (AI) technologies have common applications in different domains including medicine or health in general, law, education, and finance. Large language models (LLMs) constitute a subset of generative AI, that are trained on large text datasets to automatically generate natural language content. LLMs, similarly, are used to facilitate different tasks, and ontology engineering is among these tasks. Related research shows that LLMs can achieve promising performance in different ontology engineering tasks, particularly in ontology construction from text descriptions. In this book chapter, we first review the literature on ontology engineering and LLMs, and next, the literature on the use of this generative AI technology (namely, LLMs) for improved health, and public health, ontologies is reviewed. We also outline the main findings of the reviewed studies and present significant future research directions regarding the use of the recent generative AI technologies for improving public health ontologies.

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