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Marko A. Rodriguez on Twitter
Marko A. Rodriguez on Twitter
My thoughts on the future of @apachetinkerpop.I believe:Apache TinkerPopA Graph Computing Frameworks==should become==>Apache TinkerPopA Distributed Computing Virtual Machine and Languagehttps://t.co/Z5BKnewpS0 #graphdb #nosql pic.twitter.com/yX2wvoRaYQ— Marko A. Rodriguez (@twarko) February 26, 2019
·twitter.com·
Marko A. Rodriguez on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Hey Dan, thanks for the ping. First of all, I'll point y'all to a related thread a few weeks ago... https://t.co/haTtBJfAhA 1/24— Aaron Bradley (@aaranged) February 25, 2019
·twitter.com·
Aaron Bradley on Twitter
Speaker identification meets graphs
Speaker identification meets graphs
In social network analysis, a conventional approach relies heavily on available metadata, allowing to match a virtual entity (social network account) to...
·graphaware.com·
Speaker identification meets graphs
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Graph databases and document databases make up a subcategory of non-relational databases or NoSQL. NoSQL databases were created to get a handle on large amounts of messy Big Data, moving very quickly. Managers use the non-relational toolkit to gain business insights and detect patterns in information on the fly, as Big Data streams into the system. Many companies, especially those with a large web presence like Google, Facebook, and Twitter, consider NoSQL databases a must-have.
·dataversity.net·
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Juan Sequeda on Twitter
Juan Sequeda on Twitter
Happy to share what the Property Graph Schema Working Group has been working on for a few months. Slides https://t.co/7TzSMPobnqIndustry Survey https://t.co/MdfK1fL2wiUse Case & Requirements https://t.co/4ZuCy6zT6ZAcademic Survey https://t.co/J7rZYioIHG #W3CGraphWorkshop— Juan Sequeda (@juansequeda) March 4, 2019
·twitter.com·
Juan Sequeda on Twitter
Adrian Gschwend on Twitter: "My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked
Adrian Gschwend on Twitter: "My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked
“My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked here: https://t.co/P3oV4Xshwr #W3CGraphWorkshop 👇”
·twitter.com·
Adrian Gschwend on Twitter: "My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked
John Dhabolt on Twitter
John Dhabolt on Twitter
New @ManningBooks early access book: "Graph-Powered Machine Learning" by Dr. Alessandro Negro @AlessandroNegro #MachineLearning #neo4j #AmazonNeptune #DataScience https://t.co/XpxZK3jw0g pic.twitter.com/xntecIh0Yh— John Dhabolt (@Dhabolt) October 17, 2018
·twitter.com·
John Dhabolt on Twitter
Classification with SHACL Rules
Classification with SHACL Rules
In my previous post, Rule Execution with SHACL, we have looked at how SHACL rules can be utilized to make inferences. In this post we consider a more complex situation where SHACL rules are used to…
·henrietteharmse.com·
Classification with SHACL Rules
Saegus conseil on Twitter
Saegus conseil on Twitter
Why companies are turning to Graph? Jonathan Lacefiled from @DataStax gives us 4 main reasons: query performance, flexibility in data access, recency in data updates and visualization of patterns. #saegusmeetup pic.twitter.com/qsCtUEpvdk— Saegus conseil (@saegus_france) May 23, 2018
·twitter.com·
Saegus conseil on Twitter
Ivo Velitchkov on Twitter: "Microsoft Academic Knowledge Graph A #SPARQL endpoint to and #RDF dumps of 8 Billion Triples of Scholarly Data. https://t.co/bs6pXoh9Z7 https://t.co/orZEq9Dt8J https://t.co/IUP8FQWk5j… https://t.co/7AchKF5Urw"
Ivo Velitchkov on Twitter: "Microsoft Academic Knowledge Graph A #SPARQL endpoint to and #RDF dumps of 8 Billion Triples of Scholarly Data. https://t.co/bs6pXoh9Z7 https://t.co/orZEq9Dt8J https://t.co/IUP8FQWk5j… https://t.co/7AchKF5Urw"
Microsoft Academic Knowledge GraphA #SPARQL endpoint to and #RDF dumps of8 Billion Triples of Scholarly Data.https://t.co/bs6pXoh9Z7https://t.co/orZEq9Dt8Jhttps://t.co/IUP8FQWk5j pic.twitter.com/KBvtdAOzwd— Ivo Velitchkov (@kvistgaard) January 8, 2019
·twitter.com·
Ivo Velitchkov on Twitter: "Microsoft Academic Knowledge Graph A #SPARQL endpoint to and #RDF dumps of 8 Billion Triples of Scholarly Data. https://t.co/bs6pXoh9Z7 https://t.co/orZEq9Dt8J https://t.co/IUP8FQWk5j… https://t.co/7AchKF5Urw"
Stefan Keller on Twitter: "IMO there's no need to mix-in #SPARQL into #SQL. There's SQL/MED. Only few things are missing in standard SQL to query distributed #LinkedData: 1. HTTP endpoint 2. SPARQL SERVICE alike SQL keyw. Who helps proposing a spec. about
Stefan Keller on Twitter: "IMO there's no need to mix-in #SPARQL into #SQL. There's SQL/MED. Only few things are missing in standard SQL to query distributed #LinkedData: 1. HTTP endpoint 2. SPARQL SERVICE alike SQL keyw. Who helps proposing a spec. about
IMO there's no need to mix-in #SPARQL into #SQL. There's SQL/MED. Only few things are missing in standard SQL to query distributed #LinkedData: 1. HTTP endpoint 2. SPARQL SERVICE alike SQL keyw. Who helps proposing a spec. about this? @danbri Is @w3c the right place to do this?— Stefan Keller (@sfkeller) February 23, 2019
·twitter.com·
Stefan Keller on Twitter: "IMO there's no need to mix-in #SPARQL into #SQL. There's SQL/MED. Only few things are missing in standard SQL to query distributed #LinkedData: 1. HTTP endpoint 2. SPARQL SERVICE alike SQL keyw. Who helps proposing a spec. about