Graphbrain

• url: https://graphbrain.net/
• written-in: #python
• #aka "An OpenCog that works"

Features

• provides an actual database system that allows for persistent storage and manipulation of semantic hypergraphs.
• "Taxonomies can be built using type-of relations between hyperedges, with the help of the special predicate type_of/P/..", i.e., typeof = instanceOf

Cons

• single backend implementation, that is based on LevelDB (a very efficient sorted key-value store that is stored in a local directory). Hypergraphs stored in this format can only be accessed by one process/thread at a time.

Highlights

• Graphbrain is built around a unifying concept: the Semantic Hypergraph (SH), which makes it possible to represent a natural language sentence such as “Einstein first published the theory of relativity in 1905” as an ordered, recursive hyperlink
  • http://graphbrain.net/manual/notation.html

Resources

• Linking Graph Databases and Semantic Web for Reasoning in Library Domains

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Backlinks

• Linking Graph Databases and Semantic Web for Reasoning in Library Domains
• Semantic Hypergraph