论文标题
KGVEC2GO-知识图嵌入作为服务
KGvec2go -- Knowledge Graph Embeddings as a Service
论文作者
论文摘要
在本文中，我们介绍了KGVEC2GO，这是一种在下游应用程序中以轻量级方式访问和消费图形嵌入的Web API。目前，我们为四个知识图提供了预训练的嵌入。我们介绍了该服务及其用法，并进一步证明，受过训练的模型通过在多个语义基准上评估它们具有语义价值。评估还表明，多个模型的组合可以比最佳单个模型带来更好的结果。
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.
