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SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files.

To achieve such a goal, it combines steiner trees detection with deep learning applied on graphs, and builds semantic models of the data sources, in terms of classes and relationships within an ontology domain.

Before installing SeMi, you have to verify these requirements.

To download SeMi, you can run the commands available here.

To install SeMi and all its dependencies you can use these instructions.