Building Massive Knowledge Graphs using an Automated ETL Pipeline

Knowledge graphs are extremely versatile semantic tools, but there are current bottlenecks with expanding them to a massive scale. This concern is a focus of the Graph-Massivizer project, where solutions for scalable massive graph processing are investigated. In this paper we'll describe how to build a massive knowledge graph from existing information or external sources in a repeatable and scalable manner. We go through the process step-by-step, and discuss how the Graph-Massivizer project supports the development of large knowledge graphs and the considerations necessary for replication.