# Accelerating Knowledge Graph and Ontology Engineering with Large Language Models

arXiv: https://arxiv.org/abs/2411.09601 · HTML: https://mlsanity.com/paper/2411.09601/

## Key facts

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

## Builds on (most cited first, 9 of 9)

- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://mlsanity.com/paper/2306.08302/) (2023)
- [LLMs4OL: Large Language Models for Ontology Learning](https://mlsanity.com/paper/2307.16648/) (2023)
- [OLaLa: Ontology Matching with Large Language Models](https://mlsanity.com/paper/2311.03837/) (2023)
- [MODL: A Modular Ontology Design Library](https://mlsanity.com/paper/1904.05405/) (2019)
- [Conversational Ontology Alignment with ChatGPT](https://mlsanity.com/paper/2308.09217/) (2023)
- [Towards Complex Ontology Alignment using Large Language Models](https://mlsanity.com/paper/2404.10329/) (2024)
- [Commonsense Ontology Micropatterns](https://mlsanity.com/paper/2402.18715/) (2024)
- [The KnowWhereGraph Ontology](https://mlsanity.com/paper/2410.13948/) (2024)

## Built on by (most cited first, 9 of 9)

- [Retrieval-Augmented Generation of Ontologies from Relational Databases](https://mlsanity.com/paper/2506.01232/) (2025)
- [An Ontology for Representing Curriculum and Learning Material](https://mlsanity.com/paper/2506.05751/) (2025)
- [Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring](https://mlsanity.com/paper/2511.20679/) (2025)
- [Knowledge Conceptualization Impacts RAG Efficacy](https://mlsanity.com/paper/2507.09389/) (2025)
- [LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain](https://mlsanity.com/paper/2603.20094/) (2026)
- [A Variability-Based Framework for Interpretable Naming in Formal and Relational Concept Analysis](https://mlsanity.com/paper/2606.08477/) (2026)
- [Quipu: A Governed Bitemporal Knowledge Graph Store](https://mlsanity.com/paper/2608.16813/) (2026)
- [Automated Tree Knowledge Graph Construction using Ontology Expansion and Retrieval from Vietnamese History Textbooks](https://mlsanity.com/paper/2609.00763/) (2026)
- [DTScribe: Generating Models for Digital Twin Reporting using Local Large Language Models](https://mlsanity.com/paper/2610.18635/) (2026)

## 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.