GraphNews

"Linking OpenStreetMap with Knowledge Graphs - Link Discovery for Schema-Agnostic Volunteered Geographic Information", using Wikidata and DBPedia.(Tempelmeier and Demidova, 2020)https://t.co/VAxB6fsxEb pic.twitter.com/OwKtzY9C59— WikiResearch (@WikiResearch) November 25, 2020

👉 bbw is our new semantic annotator matching tabular data with #Wikidata knowledge graph via meta-lookup.It is Open Source https://t.co/VaTZHoaodH and comes with reproducible binder links https://t.co/VwJzkh4Og7 resp. https://t.co/ynlXEl1awM. Try it out! pic.twitter.com/ZoedYVPJUM— Philipp Zumstein (@zuphilip) November 24, 2020

And you gotta love the name "SPARQLBurger" https://t.co/v9kzqgNICY— Learning SPARQL (@LearningSPARQL) November 27, 2020

I love how these tweets link to the actual interactive image. https://t.co/9j9wxq7Hss— Learning SPARQL (@LearningSPARQL) November 26, 2020

"... there’s another step beyond that which is business modelling, and that needs to be represented in a knowledge graph. Knowledge graphs are how we’ll do predictive analytics in the 2030s." - former @SnowflakeDB CEO @bob_mugliahttps://t.co/lQaAvhuA4Q #knowledgegraph— Juan Sequeda (@juansequeda) November 30, 2020

'The State of Graph Databases in 2020' Tweet Chat https://t.co/vsZ7svIM5Y— Cambridge Semantics (@CamSemantics) November 29, 2020

#schema.org v11 is out, with the biggest changes being to pending (i.e. vocabulary in development, pictured). https://t.co/MGAw2wbX2K Some notable additions there... pic.twitter.com/zyuMweBvOa— Aaron Bradley (@aaranged) December 2, 2020

. @Sijin_Cheng and I have received the Best Paper Award at #iiWAS2020 for our paper titled "FedQPL: A Language for Logical Query Plans over Heterogeneous Federations of RDF Data Sources."Find the paper at:https://t.co/zlgKQfAtG2...research done at @liu_universitet— Olaf Hartig (@olafhartig) December 1, 2020

For graph database users, you have now an open source jupyter notebook you can use with many different graph databases, as long as they are compatible with RDF SPARQL or with Apache TInkerpop, including Amazon Neptune https://t.co/e3EODiXb6a— javier ramirez (@supercoco9) November 26, 2020

"Introducing Inter-Relatedness between #Wikipedia Articles in Explicit Semantic Analysis", enhancing articles' vector representations with information about relations between Wikipedia pages.(Elango and Prasad K, 2020)https://t.co/Hb7rHIrIyj#NLProc@iitmadras pic.twitter.com/xLt89t1IBh— WikiResearch (@WikiResearch) December 3, 2020

A Practical Introduction to Structured Data for SEO:* Why is structured data important for SEO?* What is structured data?* Identify structured data opportunities* Manual implementation* Site-wide structured data solutionsMore: https://t.co/q8b62MO2EI by @GeoffKennedy 👌 pic.twitter.com/HFP3IrrJKw— Aleyda Solis (@aleyda) December 3, 2020

In this talk, there are a few thoughts on Semantic MediaWiki as a generic "thinking tool", as a pay-as-you-go development environment, or, as I call it, the #ultimatenerdsnipe I don't think I expressed these ideas in a recorded talk before, so I hope you enjoy it! https://t.co/XTfwCFLa2B— Denny Vrandečić (@vrandezo) December 4, 2020

I've been working with Jraph internally for a while now and totally love it. Makes it super easy to put together new graph NN models. Congrats to colleagues on its release! https://t.co/97ZmdLQKUe— Kim Stachenfeld (@neuro_kim) December 4, 2020

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Guide to graph representation of data and how to perform feature extraction from graphs using DeepWalk. Learn about DeepWalk and its python implementation

Today Neo4j is a TOP 20 DATABASE MANAGEMENT SYSTEM. DBEngines is essentially the Who's Who of DBMS and they rank 363 players. Notice I did not use the ...

We’ve been working on something we call “SemOps” (like DevOps but for Semantic Technology + IT Operations). The basic idea is how can we create a pipeline to go from proposed enterprise ontology or taxonomy enhancements to “in-production” as frictionlessly as possible. As so often happens, when we shine the Semantic Light on a topic […]

I made a quick video on the basics of DeepMind's AlphaFold 2, one of the biggest accomplishments in the history of AI and life sciences. Hope the video... 45 comments on LinkedIn

Linking that data.

I've fallen a bit behind on my newsletters of late, as I've taken over the helm of Data Science Central and have been focusing most of my efforts there. The following is an article that I've had in mind to write for a while, the first in what I hope to be a series on graph visualization techniques.

In the last year, graph embeddings have become increasingly important in Enterprise Knowledge Graph (EKG) strategy. Graph embeddings will…

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…

One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.

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