TGViewer
Graph Machine Learning Graph Machine Learning @graphml · 6.59K subscribers
Post #578 1.98K
Book: Designing and Building Enterprise Knowledge Graphs (Synthesis Lectures on Data, Semantics, and Knowledge)

A new book by Ora Lassila and Juan Sequeda that guides on designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies.
More from @graphml
  1. Mar 18, 2026🚀 LOGML 2026 — Mentor Applications Open (Deadline extended!) The LOGML (London Geometry a…
  2. Feb 28, 2026PhD Position in Graph Learning at the University of Vienna, Austria A PhD student position…
  3. Feb 16, 2026Uni Leipzig looking for a motivated student for a PhD position in Graph Machine Learning a…
  4. Oct 2, 2025Tired of evaluating your graph ML models on Cora, CiteSeer, and PubMed? We have a better b…
  5. Oct 2, 2025How can we create general-purpose graph foundation models? (by Dmitry Eremeev) For a long…
  6. Sep 21, 2025GraphML News (September 2025) - Stanford Graph Learning WS, MoML, RF Diffusion 3 While the…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →