Outlet Title

Issues in Information Systems

Document Type

Article

Publication Date

2024

Abstract

Ontology Learning aims to facilitate automatic or semi-automatic ontology development based on machine learning techniques in context of big data. Recent evolution of technology has introduced Generative Artificial Intelligence (AI) capable of creating new data, extracting insights from the existing data, and generating coherent texts from various inputs. This ability supports analysis of text data, providing insights and annotations that reduce human effort. This study explores the emerging field of Generative AI, specifically, Large Language Models for ontology learning. We conducted a survey of the current state of Generative AI research with focus on applicability and efficacy for ontology development tasks, and assessment of evaluation techniques. We discussed challenges related to explainability and interpretability of Generative AI and outlined directions for future research.

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