GraphNews

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

"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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