GraphNews

"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

"Inrupt ... has launched its first enterprise-ready Solid servers for use by more than a dozen partners, including the NHS, the BBC and NatWest Bank." https://t.co/HcW0uWJjUZ— Aaron Bradley (@aaranged) November 10, 2020

This - at first blush - looks pretty good.... https://t.co/H8ngiL8kdp pic.twitter.com/dwtOWubicI— Aaron Bradley (@aaranged) November 10, 2020

Graph Neural Networks in Recommender Systems: A Survey https://t.co/KL3AMT4bzn pic.twitter.com/TMJzh1VZr8— Aaron Bradley (@aaranged) November 10, 2020

Enrich your content and take advantage of the #LOD Cloud! #DBpediaSpotlight returned with fantastic #updates and is now aligned with the #DBpediaDatabus. Check all details here: https://t.co/dpK7bhCZfZ #DBpedia #datamatters #Docker #API #demo pic.twitter.com/HguYOJ8mXu— DBpedia (@dbpedia) November 10, 2020

New episode of @TheGraphShow : @joshsh interviews @OReillyMedia Author - @DeniseKGosnell https://t.co/QTfJOvWr4Ton #GraphThinking #customer360 #TinkerPop #graphdatabases pic.twitter.com/SjR9a8WDRD— TheGraphShow (@TheGraphShow) November 9, 2020

Wonderful presentation by @lesliemyint on how knowledge graphs can be used to understand complexity https://t.co/tS1n9HB6wn— Dan McCreary (@dmccreary) November 13, 2020

My favourite topic. Text. https://t.co/dbmOvvg7vk— Teodora Petkova (@TheodoraPetkova) November 13, 2020

Did some SPARQL tests with @binteractions Quadstore (powered by @comunicajs and @rdfjs) and the client-side browser instance provided by @txreto.Conclusion: 100% client side RDF & SPARQL is ready, at least for lightweight use-cases!Great validation for our RDF JS Efforts! pic.twitter.com/R7QFXtKWr1— Adrian Gschwend (@linkedktk) November 13, 2020

SPARQL update that splits the default graph into named graphs by subjecthttps://t.co/LKsgs1QM0t— Martynas Jusevičius (@namedgraph) November 12, 2020

Announcing a new and great integration tool that moves and reshapes data bi-directionally between Neo4j and Apach Spark.

On one hand we have a really great technology, that may solve numerous issues in the #data industry, but how does it become attractive for the #enterprise? #KnowledgeGraphs #GraphDatabase https://t.co/GadQV0IJUj pic.twitter.com/r5D3MrY1Lf— Carbon LDP (@CarbonLDP) November 12, 2020

I wrote about how we're using knowledge graphs and machine learning to connect together heritage collections @sciencemuseum @nat_collection : https://t.co/HfHFeBP8sg pic.twitter.com/WfdOyAPCWl— kalyan (@KDutia) November 11, 2020

This is the entire @DBpedia Ontology visualised as a radial dendogram. Check it out at https://t.co/dalZvvQgQj and make sure you enable full screen through the action menu. pic.twitter.com/6y3qVSTop8— Tommaso Soru 🇪🇺 (@mommi84) November 13, 2020

Client-side Linked Data tooling is ready for primetime. Proud to see the shared RDF/JS efforts pay off! https://t.co/OjOLpLNppe— Ruben Verborgh (@RubenVerborgh) November 13, 2020

In its recently published Magic Quadrant for Metadata Management Solutions, Gartner has positioned the Semantic Web Company (SWC) and PoolParty as a Visionary...

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How EKGs and Systems Thinking is making the world better

Commentary: There's scale, and then there's China scale. Learn about how real estate giant KE Holdings scales its graph database.

"pSPARQL: A Querying Language for Probabilistic RDF Data""extended SPARQL to support querying over probabilistic RDF. In the future, we will discuss some foundational properties of #pSPARQL and implement it in a prototype to provide the full SPARQL"#probability #RDF #SPARQL pic.twitter.com/rpF94iouDF— Nick Vintila (@semanticbeeng) February 23, 2020

LIquid: The soul of a new graph database, Part 2 https://t.co/gXHEirwP6m via @LinkedInEng— Cambridge Semantics (@CamSemantics) October 2, 2020

Here's a brand new fast and lightweight streaming Microdata to RDF parser for JavaScript: https://t.co/67u0DhEOlB It's fully compliant to the latest Microdata to RDF editor's draft: https://t.co/KpkGySDuM4#RDF #Microdata #JavaScript \cc @danbri— Ruben Taelman (@rubensworks) October 2, 2020