hyperquest-hq/hyperbase
A foundational library for Semantic Hypergraphs
What it solves
Hyperbase provides a way to represent complex natural language sentences as structured data. It allows users to transform a sentence like "Einstein first published the theory of relativity in 1905" into a semantic hypergraph, which is an ordered, recursive hyperlink structure that captures the meaning of the sentence.
How it works
The library is written in Python and implements the concept of Semantic Hypergraphs (SH). It enables the representation of information as recursive hyperlinks, allowing for more sophisticated data structures than traditional graphs where edges only connect two nodes.
Who it’s for
It is designed for researchers and developers working with semantic data, natural language processing, and scientific libraries in Python.
Highlights
- Written in Python for easy integration with scientific libraries.
- Implements Semantic Hypergraphs for recursive hyperlink representation of language.
- Released under the MIT license.
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