kaankvrck/LLM-Based-KG-Generator

This project compares manually curated knowledge graphs with those automatically generated by Ollama Gemma 7B, a large language model (LLM). By analyzing their differences and similarities, this research provides insights into the strengths and limitations of both manual and AI-based approaches to knowledge graph generation.

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Experimental

This helps researchers understand the differences between knowledge graphs created by hand and those generated automatically by a large language model like Gemma 7B. You input a manually built knowledge graph and then compare it to one created by the AI. This is useful for anyone working with knowledge graphs for systems like question answering, helping them decide the best way to build these important data structures.

No commits in the last 6 months.

Use this if you need to evaluate the quality and characteristics of knowledge graphs generated by AI compared to human-expert crafted versions.

Not ideal if you are looking for a tool to simply build a knowledge graph without needing a comparative analysis.

knowledge-engineering semantic-web natural-language-processing information-extraction question-answering-systems
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

17

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 14, 2024

Commits (30d)

0

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