Building an Intelligent Knowledge Graph System

Introduction

Knowledge graphs are revolutionizing how we structure and utilize information. In this project, I designed and implemented an intelligent knowledge graph system that integrates large-scale data storage, automated information extraction, and interactive visualization to simplify literature search and knowledge discovery.

Project Highlights

1. Automated Extraction: Built an ML pipeline to extract entities and relationships from academic documents.
2. Scalable Infrastructure: Integrated MongoDB and MySQL for graph data storage and metadata management, with secure backend services.
3. Interactive Visualization: Developed a responsive frontend with intelligent search and force-directed graph visualization for exploring knowledge structures.

Impact

This system showcases how knowledge graphs can transform unstructured text into actionable insights, offering researchers an efficient tool for exploring large-scale academic literature.