Post by gdotv

Hello graph enthusiasts! 🌧️ Weather, ⚗️chemistry and 🚂 European Railways are the subjects this week. Speaking of Europe, 🇳🇴 Norway has emerged as an absolute powerhouse of graph updates this week, with not one but two of our news items coming from Norwegian researchers! Headlines this week: • I don't have the time for this! Veronika Heimsbakk explores how to use chrontext to retrieve timeseries weather data via SPARQL, without that data clogging up your knowledge graph. ☀️🌧️💨🌨️ • "Train-ing data", not training data: Researchers Davan CHIEM DAO, Ghislain ATEMEZING and Christophe Debruyne in Belgium, working on a multi-graph extension to SHACL, have demonstrated use of SHACL-DS on the European Railway Infrastructure Knowledge Graph 🚂🚃🚃🚃🚃 •Tickets, please: Microsoft Azure HorizonDB is the latest to demonstrate their LLM-powered function for knowledge graph construction 🚜👷🚧🏗️ • Making a Fresh Star(t)dog: Database vendor Stardog has rebranded itself, pivoting towards the LLM market. ⭐🐶 • Complex bonds and relationships: Researchers Luca Cibinel, Trond Linjordet, Johan Pensar, David Balcells, Riccardo De Bin and Basil Ell in Oslo have built a chemistry knowledge graph out of existing datasets on transition metals and their complexes. 👩🏻‍🔬⚗️🧪🥼 If you’re new here, the Weekly Edge is your weekly tl;dr of graph technology news curated by the team at gdotv, giving you all the reads, repos, vids, and walkthroughs worth exploring from the past seven-ish days (or so). Check it out here: https://lnkd.in/e5zCTAwP #rdf #knowledgegraphs #stardog #microsoft