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- research-articleOctober 2021
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge ManagementPages 4465–4474https://doi.org/10.1145/3459637.3481999This paper presents DistRDF2ML, the generic, scalable, and distributed framework for creating in-memory data preprocessing pipelines for Spark-based machine learning on RDF knowledge graphs. This framework introduces software modules that transform ...