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Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding
One of the significant barriers to the training of statistical models on knowledge graphs is the difficulty that scientists have in finding the best input data to address their prediction goal.
LiveSchema: A Gateway Towards Learning on Knowledge Graph Schemas
In this paper, we describe the LiveSchema initiative, namely a gateway that offers a family of services to easily access, analyze, transform and exploit knowledge graph schemas, with the main goal of facilitating the reuse of these resources in machine learning use cases.
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