From Digital Humanities to Artificial Intelligence Humanities: AI Applications in Knowledge Organization and Future Visions

This study reviews Digital Humanities (DH) research to compare knowledge organization (KO) approaches between traditional DH and emerging Artificial Intelligence Humanities (AI Humanities). Using content analysis, we systematically examine how KO is applied in traditional DH and AI humanities. Traditional DH projects follow an “extraction-representation-storage-application” knowledge organization paradigm, focusing on improving the discoverability, accessibility, and comprehensibility of humanities knowledge. Generative AI technology widely influences and transforms the way of knowledge organization, shifting from a high technical threshold and professional knowledge requirements to simple natural language guidance, from rule-based frameworks to automatic processing with LLMs, from domain expert-led practices to intelligent user interactions, and from knowledge browsing to knowledge generation. Based on these shifts, the study proposes future directions for knowledge organization in AI humanities, providing insights for further research.