GraphNews

For the last few years, I have been promoting the idea of the Hardware Graph. My assertion was that graph hardware needs a focus on simple…

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The more we advance in machine learning (ML) and artificial intelligence (AI), the more we realize how exquisitely complex human intelligence is.

Learn more about Azure Cosmos DB's consumption-based serverless offer.

K8ssandra, Apache Cassandra on Kubernetes

Solutions Review has compiled this list of the best graph databases to consider based on real user reviews and product roadmaps.

Best Paper Award KEOD 2020... 13 comments on LinkedIn

Network analysis offers enormous potential for journalism: able to tease out controversial connections and curious clusters, and to make visible that which we could not otherwise see, it’s al…

Understand the Graph Data Platforms market segment and develop a point of view that can be shared among IT professionals, business leaders, and developers from cloud-native startups to large-scale enterprises.

Stardog launches the industry's first cloud-native Enterprise Knowledge Graph Platform.

My trip report for the 2020 International Semantic Web Conference #iswc2020 Takeaways: - Realization that we need to understand users! - Are we educating...

In this Dialogue, Alan Morrison is a steadfast guide into the world of the data-centric future. Enjoy Alan’s bits and pieces of several big pictures: the one of the enterprise, the one of the semantic technology landscape and the one of language and communication.

Great explanation of #LinkedData and #SPARQL with Buckets and Ballsby @kvistgaard https://t.co/wBPZWgNmUG pic.twitter.com/QOEA5BG7di— Elena Makurochkina (@elenamdata) October 26, 2020

FYI: #semanticweb #ontologies and #linkedopendata can be hosted on #github pages with proper #mime types - just wrote a small test-case. See here for code: https://t.co/7iSh8g4atw - inspiration from @iswc_conf #slack— martin hepp (@mfhepp) November 3, 2020

#KnowledgeGraphs articles per year on Google Scholar, slide from #iswc2020 keynote presentation of Kavitha Srinivas pic.twitter.com/MP98uGLv31— Harald Sack (@lysander07) November 3, 2020

🚨⚠️ We have just released pyRDF2Vec 0.1.0 ⚠️🚨In this release, we make the three main building blocks of the RDF2Vec algorithm fully configurable (discussed further).To illustrate how pyRDF2Vec could be used, we wrote a blog: https://t.co/sYqQuJF6Z3 (1/5)— Gilles Vandewiele (@Gillesvdwiele) November 2, 2020

Just published by @WikimediaIL :https://t.co/JadkTTL6cJCould this be the best #SPARQL / @wikidata query tutorial ever? pic.twitter.com/yeyRum76ix— WikiCite (@Wikicite) October 21, 2020

Link Prediction in #KnowledgeGraphs with an Explainable AI approach that supports newly emerging entitiesPresented this week at #ISWC2020 Joint work w/ @kingsaintrb Code: https://t.co/OzjaefFFoLPaper:https://t.co/4saczQ0slx pic.twitter.com/BnY03YtYTc— Gerard de Melo (@gdm3000) November 4, 2020

Today we presented at @iswc_conf our paper In-Database Graph Analytics with Recursive SPARQL 😊 you can check the video here: https://t.co/MBnWXPqQJQThis work was done by @JuanLReutter, @aidhog and me 🎊— Adrián Soto Suárez (@alanezz) November 3, 2020

gist is Semantic Arts' "minimalist upper ontology. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity." https://t.co/5pwf1LVR67— Aaron Bradley (@aaranged) November 4, 2020

"Language Models Are Open Knowledge Graphs" comparing #Wikidata with knowledge graphs automatically constructed from pre-trained language models.(Wang et al, 2020)#NLProc@dawnsongtweetshttps://t.co/re8TTPK5y3 pic.twitter.com/CC90phUnSC— WikiResearch (@WikiResearch) November 4, 2020

Part 1 : Encoding KG Aliases in Attentive Neural Network for Entity Linking (ARJUN)

Neo4j advances machine learning compatibility for its graph database - SiliconANGLE

Yes!! One of the cool things about the semantic web community is the gender balance! https://t.co/Ch5ed6sAoU— Juan Sequeda (@juansequeda) November 3, 2020

"As we’ve grown ... developing the API aggregation layer has become increasingly harder. In order to address this rising problem, we’ve developed a federated GraphQL platform to power the API layer." @tejas26 https://t.co/vgBdzNJa0v— Aaron Bradley (@aaranged) November 9, 2020

Computer scientists develop a better way to find approximate solutions to the 44-year-old "traveling salesperson" problem.Paper: https://t.co/75WRpTKCmN (v/@UW) More: https://t.co/489nTfxm9J (v/@EricaKlarreich @QuantaMagazine)#MondayMotivation pic.twitter.com/4Xh61lzEmK— MIT CSAIL (@MIT_CSAIL) November 9, 2020

RDF vs. Property Graphs! hear @joshsh and @jansaasman of @Franzinc on @TheGraphShow episode #1https://t.co/yOaqdmNqWR#Ontology #GraphDatabases #Semantic #RDF #KnowledgeGraphs pic.twitter.com/NDBKxmrvJR— TheGraphShow (@TheGraphShow) November 2, 2020

This is a very detailed post about Uber’s data catalog. I’ve truly enjoyed and learned so much fron my conversations with @joshsh which has framed a lot of my thinking about how enterprises should manage their metadata and data. https://t.co/UWpOkStl5G— Juan Sequeda (@juansequeda) November 11, 2020