The initial release of KGs was started on an industry scale by Google and further continued with the publication of other large-scale KGs such as Facebook, Microsoft, Amazon, DBpedia, Wikidata and many more. As an influence of the increasing hype in KG and advanced AI-based services, every individual company or organization is adapting to KG. The KG technology has immediately reached industry, and big companies have started to build their own graphs such as the industrial Knowledge Graph at Siemens. In a joint work for sharing ideas from large-scale industrial Knowledge Graphs, namely Microsoft, Google, Facebook, eBay and IMB, authors stated a broad range of challenges ahead of research and industry involving KGs. Despite the content-wise difference and similarities of those Knowledge Graphs, the discussions involve data acquisition and provenance problems due to source heterogeneity and scalability of the underlying management system. In this lecture we introduce the Enterprise Knowledge Graph of Italian companies for the Central Bank of Italy.
See Weaving Enterprise Knowledge Graphs:The Case of Company Ownership Graphs
