Abstract
Ontologies are human- and machine-readable conceptualizations that define domain concepts and their relationships. The context provided by these representations are essential for advanced reasoning applications and explainable artificial intelligence efforts. Despite their advantages, however, automating ontology generation from text is difficult due to a number of challenges. To bring greater awareness to those challenges and to initiate discussion on possible solutions, we provide a definition of ontologies, the motivation behind our work, a set of key challenges, and an overview of adjacent solutions in recent work.
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Izumigawa, C., Taylor, B., Sato, J. (2023). Automated Ontology Generation. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_59
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