Advancing the Physical Internet with GraphRAG: A New Way to Review and Integrate Existing Research

2026-09-24

AI Summary

This study addresses the fragmentation and difficulty of systematically integrating domain knowledge in Physical Internet (PI) research by introducing GraphRAG technology into PI literature reviews for the first time. Leveraging GPT-4o mini and Neo4j, a domain-specific knowledge graph is constructed to enable the structured interconnection of complex bibliographic information and graph retrieval-augmented generation. This approach systematically delineates the evolutionary trajectory of PI literature while precisely identifying emerging research trends and critical gaps. Consequently, it significantly enhances the accessibility of domain knowledge and deepens the understanding of current research dynamics, thereby providing a robust foundation for future innovation.

Abstract

Physical Internet (PI) is an emerging concept that applies the digital internet as a design metaphor for the development of sustainable, interoperable, and collaborative freight transportation. It is considered a way to bring logistics into the next generation of transformation. Effective tools for organizing and integrating knowledge are essential for navigating the emerging research in this area. In this study, we explore the application of Graph Retrieval Augmented Generation (GraphRAG) in the context of PI, using GPT-4o mini and Neo4j to construct a knowledge graph and systematically analyze existing PI-related literature. Our approach synthesizes scattered research findings, highlights emerging trends, and identifies knowledge gaps. Furthermore, we demonstrate that GraphRAG improves accessibility by structuring complex information into interconnected graphs and provides a deeper understanding of underlying research dynamics. This research will contribute to future research and innovation by providing a new method of information analysis in the PI domain.

Problem

• Physical Internet
• GraphRAG
• Knowledge Graph
• Literature Review
• Research Integration

Innovation

• GraphRAG
• Physical Internet
• Knowledge Graph
• GPT-4o mini
• Neo4j