KGvec2go -- Knowledge Graph Embeddings as a Service
This provides a convenient service for developers and researchers needing to use knowledge graph embeddings, but it is incremental as it focuses on deployment rather than new methods.
The authors tackled the problem of making knowledge graph embeddings easily accessible for downstream applications by introducing KGvec2go, a Web API that serves pre-trained embeddings for four knowledge graphs, and they found that combining multiple models can improve outcomes over the best individual model.
In this paper, we present KGvec2go, a Web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications. Currently, we serve pre-trained embeddings for four knowledge graphs. We introduce the service and its usage, and we show further that the trained models have semantic value by evaluating them on multiple semantic benchmarks. The evaluation also reveals that the combination of multiple models can lead to a better outcome than the best individual model.