mlsanityData to 14 Oct 2026

LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT

arXiv 2307.06917 ↗First posted 13 Jul 2023cs.AI cs.CL cs.DBcited by 42

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Abstract (arXiv)

Knowledge Graphs (KG) provide us with a structured, flexible, transparent, cross-system, and collaborative way of organizing our knowledge and data across various domains in society and industrial as well as scientific disciplines. KGs surpass any other form of representation in terms of effectiveness. However, Knowledge Graph Engineering (KGE) requires in-depth experiences of graph structures, web technologies, existing models and vocabularies, rule sets, logic, as well as best practices. It also demands a significant amount of work. Considering the advancements in large language models (LLMs) and their interfaces and applications in recent years, we have conducted comprehensive experiments with ChatGPT to explore its potential in supporting KGE. In this paper, we present a selection of these experiments and their results to demonstrate how ChatGPT can assist us in the development and management of KGs.

Key facts. Cited by 42 papers in the map (data through 14 Oct 2026). Builds on 5 of its 8 references that are in the map. First posted on arXiv 13 Jul 2023.

Builds on

5 of 8 references.

References · 5

  1. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
  2. 2023ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbotscited by 47
  3. 2022"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Datacited by 32
  4. 2023Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KGcited by 5
  5. 2023Context-based Ontology Modelling for Database: Enabling ChatGPT for Semantic Database Managementcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 6; 2024: 18; 2025: 11; 2026: 7.

42 papers.

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  1. 2023Making Large Language Models Perform Better in Knowledge Graph Completioncited by 48
  2. 2024From human experts to machines: An LLM supported approach to ontology and knowledge graph constructioncited by 40
  3. 2024OntoChat: a Framework for Conversational Ontology Engineering using Language Modelscited by 15
  4. 2024Exploring the Potential of Large Language Models in Graph Generationcited by 15
  5. 2024Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLcited by 14
  6. 2024Assessing SPARQL capabilities of Large Language Modelscited by 14
  7. 2023Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineeringcited by 13
  8. 2024Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistancecited by 13
  9. 2023Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?cited by 11
  10. 2024Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportationcited by 10
  11. 2023Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Modelscited by 6
  12. 2023Large Scale Foundation Models for Intelligent Manufacturing Applications: A Surveycited by 6
30 more
  1. 2024Consolidating Trees of Robotic Plans Generated Using Large Language Models to Improve Reliabilitycited by 6
  2. 2024Neurosymbolic Graph Enrichment for Grounded World Modelscited by 6
  3. 2024Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graphcited by 6
  4. 2024Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generationcited by 6
  5. 2024On the Use of Large Language Models to Generate Capability Ontologiescited by 5
  6. 2025A Survey of Link Prediction in N-ary Knowledge Graphscited by 4
  7. 2024Improving Ontology Requirements Engineering with OntoChat and Participatory Promptingcited by 3
  8. 2025LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMscited by 3
  9. 2025ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilitiescited by 3
  10. 2024Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Modelscited by 2
  11. 2024Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learningcited by 2
  12. 2025Guiding Generative Storytelling with Knowledge Graphscited by 2
  13. 2025KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphscited by 2
  14. 2026Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendationscited by 2
  15. 2023Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorialcited by 1
  16. 2025From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Frameworkcited by 1
  17. 2025Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLMcited by 1
  18. 2025How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performancecited by 1
  19. 2026Development of Ontological Knowledge Bases by Leveraging Large Language Modelscited by 1
  20. 2026Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrievalcited by 1
  21. 2026Evaluation of Pipelines for Data Integration into Knowledge Graphscited by 1
  22. 2024Unlocking Insights: Semantic Search in Jupyter Notebookscited by 0
  23. 2024Augmenting Knowledge Graph Hierarchies Using Neural Transformerscited by 0
  24. 2024Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguationcited by 0
  25. 2025ProKG-Dial: Progressive Multi-Turn Dialogue Construction with Domain Knowledge Graphscited by 0
  26. 2025Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworkscited by 0
  27. 2025Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision Supportcited by 0
  28. 2026Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedbackcited by 0
  29. 2026MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQAcited by 0
  30. 2026BEST-KAG: Enhancing Question Answering of Building Engineering Standards with Multimodal Knowledge Graph Modeling and Large Language Modelcited by 0