Summary
The University of Mannheim provides a novel extension for well-established triple store frameworks that allows for dynamic knowledge graph embeddings based on an automatic synchronisation mechanism.
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| Web resources: | https://www.teamingai-project.eu/exploitable-results |
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Besides addressing the current lack of dynamic knowledge graph embedding methods, the partner’s work also includes a lean updating approach to efficiently recognize knowledge graph modifications.
Knowledge graph embeddings can be computed on the fly to use them in downstream applications within dynamic domains such as manufacturing.