ontologies ↔ Large Language Models

Relations (1)

related 0.30 — supporting 3 facts

Large Language Models are utilized to automate the construction and learning of ontologies, as evidenced by their role in Stardog's knowledge engineering tools [1], the TKGCon framework [2], and broader research initiatives exploring the intersection of machine learning and symbolic knowledge representation [3].

Facts (3)

Sources

Enterprise AI Requires the Fusion of LLM and Knowledge Graph stardog.com Stardog 1 fact

claimStardog uses LLMs to automate the creation of ontologies from plain language prompts, allowing subject-matter experts to act as knowledge engineers without requiring specialized knowledge engineering training.

Combining Knowledge Graphs and Large Language Models - arXiv arxiv.org arXiv 1 fact

referenceTKGCon (Theme-specific Knowledge Graph Construction) is an unsupervised framework that uses Large Language Models to construct ontologies and theme-specific knowledge graphs by generating and deciding relations between entities to create graph edges.

Call for Papers: KR meets Machine Learning and Explanation kr.org KR 1 fact

claimThe KR 2026 special track 'KR meets Machine Learning and Explanation' invites research on the intersection of Knowledge Representation and Machine Learning, specifically covering topics such as learning symbolic knowledge (ontologies, knowledge graphs, action theories), KR-driven plan computation, logic-based learning, neural-symbolic learning, statistical relational learning, symbolic reinforcement learning, and the mutual use of KR techniques and LLMs.