Building an Intelligent Knowledge Graph System
Integrating large-scale data storage, automated extraction, and interactive visualization for knowledge discovery.
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
Automated Extraction
Built an ML pipeline to extract entities and relationships from academic documents automatically.
Scalable Infrastructure
Integrated MongoDB and MySQL for graph data storage and metadata management, with secure backend services.
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.