harishsiravuri/kgforge
Library to automate generation of knowledge graphs from scholarly text
This tool helps researchers, academics, and data scientists transform unstructured scholarly articles and texts into structured knowledge graphs. It takes academic papers, research abstracts, or other scientific documents as input and automatically extracts key entities and their relationships, presenting them as an organized knowledge graph. This is for anyone who needs to quickly map connections within large bodies of academic literature.
No commits in the last 6 months.
Use this if you need to understand relationships and build structured data from a large collection of scientific papers or scholarly texts.
Not ideal if you're working with non-scholarly text or require highly specialized, domain-specific graph extraction without any initial training.
Stars
12
Forks
8
Language
Python
License
MIT
Category
Last pushed
Dec 04, 2023
Commits (30d)
0
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