KGvec2go -- Knowledge Graph Embeddings as a Service
arXiv:2003.05809
Abstract
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.
to be published in the Proceedings of the International Conference on Language Resources and Evaluation (LREC) 2020