Research Trends for the Interplay between Large Language Models and Knowledge Graphs

• URL: http://arxiv.org/abs/2406.08223v2
• Date: Thu, 8 Aug 2024 13:07:21 GMT
• Title: Research Trends for the Interplay between Large Language Models and Knowledge Graphs
• Authors: Hanieh Khorashadizadeh, Fatima Zahra Amara, Morteza Ezzabady, Frédéric Ieng, Sanju Tiwari, Nandana Mihindukulasooriya, Jinghua Groppe, Soror Sahri, Farah Benamara, Sven Groppe,
• Abstract summary: This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs) It aims to address gaps in current research by exploring areas such as KG Question Answering, ontology generation, KG validation, and the enhancement of KG accuracy and consistency through LLMs.
• Score: 5.364370360239422
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing. It aims to address gaps in current research by exploring areas such as KG Question Answering, ontology generation, KG validation, and the enhancement of KG accuracy and consistency through LLMs. The paper further examines the roles of LLMs in generating descriptive texts and natural language queries for KGs. Through a structured analysis that includes categorizing LLM-KG interactions, examining methodologies, and investigating collaborative uses and potential biases, this study seeks to provide new insights into the combined potential of LLMs and KGs. It highlights the importance of their interaction for improving AI applications and outlines future research directions.

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