HKUST-KnowComp/AutoSchemaKG
This repository contains the implementation of AutoSchemaKG, a novel framework for automatic knowledge graph construction that combines schema generation via conceptualization.
This framework helps create high-quality knowledge graphs directly from large volumes of unstructured text, like articles, papers, or web pages. You feed in raw text documents, and it automatically extracts entities, events, and their relationships, then organizes them into a structured knowledge graph with an automatically generated schema. This is ideal for researchers, data scientists, or analysts who need to quickly build comprehensive, interconnected data insights from vast text collections.
707 stars.
Use this if you need to build detailed, interconnected knowledge graphs from large amounts of unstructured text without manually defining a schema or ontology beforehand.
Not ideal if you already have a well-defined schema or prefer to manually curate your knowledge graph's structure and content.
Stars
707
Forks
90
Language
Python
License
MIT
Category
Last pushed
Jan 14, 2026
Commits (30d)
0
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