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
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…
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
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
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
Wendy Hall on Twitter: "Just as sad is what’s happening to web sites. 15 yrs ago we had data driven web sites that reflected what was in the corporate database about staff, students, research projects ... Today they’re run by comms and marketing. Can’t fi
Just as sad is what’s happening to web sites. 15 yrs ago we had data driven web sites that reflected what was in the corporate database about staff, students, research projects ... Today they’re run by comms and marketing. Can’t find any info linked or not— Wendy Hall (@DameWendyDBE) February 28, 2019
In this post, we go into detail on how we optimized our data pipeline to be ultra efficient to both load historical bitcoin chain data and keep up to date with new blocks as they arrive. Hope you find it useful! 🤓 pic.twitter.com/fuaWXq9gPn— TokenAnalyst (@thetokenanalyst) February 22, 2019
The GraphTech Ecosystem 2019 – Part 2: Graph Analytics - Linkurious
This post is a series of 3 articles about the GraphTech ecosystem. This article covers the graph analytics landscape: frameworks, libraries, query languages
Nicolas Torzec on Twitter: "Pretty standard (knowledge graph) mining of the Grammy artists and their connections. It's nice to see News being mined to discover and rank connections but confusing co-occurrences with factual relationships doesn't look great
Pretty standard (knowledge graph) mining of the Grammy artists and their connections. It's nice to see News being mined to discover and rank connections but confusing co-occurrences with factual relationships doesn't look great.Exhibit: https://t.co/Wkv1ckt7ykvia @aaranged— Nicolas Torzec (@nicolastorzec) February 21, 2019
Emil Eifrem on Twitter: "So yeah. Today Gartner named Graphs on their top 10 trends for data in 2019, stating that "graph DBMSs will grow at 100 percent annually through 2022." 💪💪💪… https://t.co/HHgtrC6yuu"
So yeah. Today Gartner named Graphs on their top 10 trends for data in 2019, stating that "graph DBMSs will grow at 100 percent annually through 2022." 💪💪💪 pic.twitter.com/LsCg38eyON— Emil Eifrem (@emileifrem) February 18, 2019
Tomer Levi on Twitter: "If you're using #ApacheSpark to load data into #Neo4j you might be interested in our latest contribution to https://t.co/MzCRWUdu8h. Thanks to @mesirii, we added more functionality to Neo4jDataFrame, improving relationship creation
If you're using #ApacheSpark to load data into #Neo4j you might be interested in our latest contribution to https://t.co/MzCRWUdu8h.Thanks to @mesirii, we added more functionality to Neo4jDataFrame, improving relationship creation and adding node creation functionality 💪— Tomer Levi (@Tomer_Levi) February 12, 2019
Aaron Bradley on Twitter: "In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?"
In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?— Aaron Bradley (@aaranged) January 29, 2019
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Albany, US, 2019-Jan-23 — /EPR Network/ —Market Research Hub (MRH) has actively included a new research study titled “Global Graph Database Market” Size
If there's any doubts that Apple's Siri is (or at least leverages) a knowledge graph, they're laid to rest with this job posting from Apple > Siri - ML Engineer - Knowledge Graph - Apple (CA) https://t.co/1PFdecMk9V— Aaron Bradley (@aaranged) January 21, 2019
We just released PSPS: an open source tool allowing Linked Data sites based on GitHub repositories. Like GitHub pages but self-hosted and with SPARQL and RDF. Check it out: https://t.co/tBu6xvA2Qa - As you might have guessed: that's the software powering https://t.co/olmahLZFvb— FactsMission AG (@FactsMission) January 10, 2019
This is so cool, this is the first time for me to ship a #Scala REPL based product. The @apachetinkerpop based DSL allows to query your own codebase for security vulnerabilitries, data leaks etc. https://t.co/1xSOwCnhI3— Michael Pollmeier (@pollmeier) December 11, 2018
Obfuscation traditionally gives analysts a bit of a hard time. Graph databases can help look past the smoke and mirrors. Learn more on the G DATA TechBlog!