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KGvec2go -- Knowledge Graph Embeddings as a Service

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arxiv 2003.05809 v1 pith:I4HT6FZ4 submitted 2020-03-09 cs.CL cs.AIcs.DB

Jan Portisch , Michael Hladik , Heiko Paulheim This is my paper · ORCID
classification cs.CLcs.AIcs.DB
keywords embeddingsgraphkgvec2goknowledgemodelsmultiplesemanticservice
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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.

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