AI-Powered Tool

Build Knowledge Graphs from Research Papers

Transform academic papers into visual knowledge graphs that map concepts, relationships, and connections. Discover hidden patterns and build a comprehensive understanding of your research domain.

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Key Features

Entity Extraction

Automatically identifies key concepts, researchers, methods, and findings mentioned in papers.

Relationship Mapping

Maps relationships between entities including causal links, comparisons, dependencies, and temporal sequences.

Interactive Visualization

Generates interactive graph visualizations that you can explore, filter, and expand.

How It Works

Upload or Paste

Upload your paper or paste text directly into the editor

AI Processing

Our AI analyzes and processes your content intelligently

Get Results

Download or copy your improved content instantly

Frequently Asked Questions

What is an academic knowledge graph?

A knowledge graph is a visual network showing how concepts, methods, findings, and researchers are connected across papers. It helps you see the big picture of a research area.

How many papers can I include?

You can build knowledge graphs from individual papers or combine information from dozens of papers to create comprehensive domain maps.

Can I export the knowledge graph?

Yes. Export graphs as images, interactive HTML files, or structured data formats (JSON, GraphML) for use in presentations, papers, or further analysis.

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