56. 02. Integrating Knowledge Graphs with Large Language Models for Interactive Knowledge Systems
Interactive Knowledge Systems (IKS) aim to facilitate dynamic and meaningful human-computer interaction by leveraging natural language understanding and structured knowledge. The integration of Knowledge Graphs (KGs) and Large Language Models (LLMs) presents a promising approach to enhance the factual accuracy, reasoning, and explain ability of such systems. This paper explores the motivations, integration methodologies, challenges, and applications of combining KGs with LLMs within IKS frameworks, highlighting recent advances and future research directions.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-03
- DOI
- https://doi.org/10.5281/zenodo.16730565
- Primary Topic
- Advanced Graph Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00