Highlight

From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Paper exploring the semi-automatic construction of Knowledge Graphs using Large Language Models.

Based on

From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

By Vamsi Krishna Kommineni, Birgitta König‐Ries, Sheeba SamuelarXiv (Cornell University)
Read original article →

The authors propose a pipeline for constructing Knowledge Graphs with minimal human involvement, leveraging open-source Large Language Models. They demonstrate their method on a deep learning methodology dataset.

The paper evaluates the generated content and suggests that LLMs can reduce human effort in KG construction.

Abstract

The authors propose a pipeline for constructing Knowledge Graphs with minimal human involvement, leveraging open-source Large Language Models. They demonstrate their method on a deep learning methodology dataset. The paper evaluates the generated content and suggests that LLMs can reduce human effort in KG construction.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

knowledge graph constructionlarge language modelssemi-automatic ontology developmentretrieval-augmented-generationai-assisted data engineeringKnowledge GraphsOntology & TaxonomyLarge Language ModelsRetrieval & RAG
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.

Try CoreModelsTalk to usMore resources