https://arxiv.org/abs/2003.02320

http://ai.stanford.edu/blog/introduction-to-knowledge-graphs/

https://news.ycombinator.com/item?id=27245696

https://www.infoq.com/articles/graph-knowledge-base-cloud-native/

https://queue.acm.org/issuedetail.cfm?issue=3329781

https://news.ycombinator.com/item?id=22504133

https://www.infoq.com/news/2019/12/ebay-architecture-knowledgegraph Knowledge Graph

https://terminusdb.com/> . Graph database A large number of knowledge graphs have been created, including YAGO, DBpedia, NELL, Freebase [7], and the Google Knowledge Graph [8]

Semantic Web community creating a “web of data” that is readable by machines [14]. While this vision of the Semantic Web remains to be fully realized, parts of it have been achieved. In particular, the concept of linked data [15, 16] has gained traction, as it facilitates publishing and interlinking data on the Web in relational form using the W3C Resource Description Framework (RDF) [17, 18]. (For an introduction to knowledge representation, see e.g. [11, 19, 20]). In this article, we will loosely follow the RDF standard and represent facts in the form of binary relationships, in particular (subject, predicate, object) (SPO) triples, where subject and object are entities and predicate is the relation between them

https://arxiv.org/pdf/1503.00759.pdf

https://towardsdatascience.com/extracting-knowledge-from-knowledge-graphs-e5521e4861a0

https://www.ebayinc.com/stories/blogs/tech/beam-a-distributed-knowledge-graph-store/ . Beam (Apache)

https://blog.dgraph.io/post/why-google-needed-graph-serving-system/

https://stats.stackexchange.com/questions/351231/knowledge-graph-how-to-get-into-it