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Accelerating Knowledge Graph and Ontology Engineering with Large Language Models

arXiv 2411.09601 ↗First posted 14 Nov 2024cs.AIcited by 8

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Abstract (arXiv)

Large Language Models bear the promise of significant acceleration of key Knowledge Graph and Ontology Engineering tasks, including ontology modeling, extension, modification, population, alignment, as well as entity disambiguation. We lay out LLM-based Knowledge Graph and Ontology Engineering as a new and coming area of research, and argue that modular approaches to ontologies will be of central importance.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 9 of its 53 references that are in the map. First posted on arXiv 14 Nov 2024.

Builds on

9 of 53 references.

References · 9

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  3. 2023LLMs4OL: Large Language Models for Ontology Learningcited by 75
  4. 2023OLaLa: Ontology Matching with Large Language Modelscited by 35
  5. 2019MODL: A Modular Ontology Design Librarycited by 11
  6. 2023Conversational Ontology Alignment with ChatGPTcited by 11
  7. 2024Towards Complex Ontology Alignment using Large Language Modelscited by 9
  8. 2024Commonsense Ontology Micropatternscited by 2
  9. 2024The KnowWhereGraph Ontologycited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 4.

8 papers.