GraphNews

.@Josh_Bersin has been writing about the explosion of #Skills #Ontology from Workday, Degreed, EdCast, etc. @CornerstoneInc, a Learning Management Systems provider, entered the game via acquisition of @Clustree #futureofwork #knowledgegraph #EmergingTech

making, effectiveness and competitive edge.

Backed by one of Google’s earliest investors, Diffbot’s MikeTung is trying to win the information wars by analyzing nearly all of the web. Data hungry corporations like Snapchat and eBay are biting.

Mbabel #bot automatically generates article drafts based on information stored in #Wikidata. It puts generated content on a “user test page on Wikipedia”; users can expand it. Quality is influenced by heavy reliance on Wikidata #AI #opendata #semantics [LINK]https://www.vice.com/en_us/article/4agamm/the-worlds-second-largest-wikipedia-is-written-almost-entirely-by-one-bot [LINK]http://video-images.vice.com/articles/5e3c6732c62ac8009d1e9f27/lede/1581016882789-1_31_2020_THE_SECOND_LARGEST_WIKIPEDIA_SECTION_WRITTEN_BY_ONE_BOT_CV_ALT.jpeg

How graph databases can be used to explore and analyse the decentralised XRP ledger, focusing on exploring networks of fraudulent accounts and distribution patterns.

Early in 2018, industry analysts declared 2018 as the year of the graph. As we move into 2019, it is worth reflecting how the graph market has evolved.

20X more are likely untested, and over 200 deaths. The need to influence appropriate behavior and mitigation actions are extreme: The US has shot up from untouched to become the 6th most infected nation.

Google’s Knowledge Graph ambitions are expanding to include obviating heavy reliance on secondary sources like Wikipedia and being able instead to classify and cross-reference information as …

This is great, and don’t miss the other ontologies at this excellent subdomain name.

What do eBay, Airbnb, Microsoft, Lending Club, and Comcast have in common? They're all using knowledge graphs to understand their customers, business decisions, and product lines. Why? Because they easily and intuitively visualize the nature, depth, and interdependence of the relationships they've created with their business decisions.

Two philosophers are using machine learning and artificial intelligence to create a real-time map of the global economy, and the world’s largest financial firms are lining up at its door.

19 tool designed to help doctors make quicker decisions.

Explore everything that's happening in the Neo4j community for the week of 2 February 2019, including building a just-in-time data warehouse with Neo4j Streams.

Explore everything that's happening in the Neo4j community for the week of 9 March 2019, includign link prediction and what happens when you query a Neo4j cluster.

Explore everything that's happening in the Neo4j community for the week of 9 February 2019, including revealing malware relationships using Neo4j.

Discover what's new in the Neo4j community for the week of 18 July 2020, including Graph Embeddings and executives of Belgian companies.

Hi graph gang, In this week’s video, Jans, Niels, and Morgan show how to build a social knowledge graph based on data from collaboration tools that we use at Neo4j. Rik Van Bruggen queries the COVID-19 Contact Tracing Graph, Tomaz… Read more →

This year, the @UGent Web Development course kicks off with a very special guest: @timberners_lee introduces to our students his invention that changed the world. Not “vague but exciting”—rather crystal clear and as passionate as ever. https://t.co/E4JQH3bFfM

Those interested in a comprehensive overview of the current status of Linked Data Integration (at large scale) can read our ACM Computing Surveys (!) article. Preprint: https://t.co/uwGeGcm1UHCongrats @mountantonakis #LinkedData #RDF, #Integration #KnowledgeGraphs pic.twitter.com/NyN4XJIAYo— Yannis Tzitzikas (@YTzitzikas) September 16, 2019

I’ve been thinking on and off about Rich Sutton’s piece The Bitter Lesson. Here are three corners that I think Sutton is cutting too quickly: 1. Moore’s Law is way too slow to mak…

TigerGraph 2.4 Enables Enterprises to Discover Deep Insights Missed by Competing Graph Databases

.@TigerGraph #graphDB updates its #Cloud offering with configuration for distributed graphs, replica instances for high availability, EFS for backup/restore. Updates available by end of 2019 on #AWS, #Azure to follow in Q1 2020

A year after emerging from stealth mode, graph database startup TigerGraph is expanding its offerings to include a cloud database service that supports AI

TigerGraph Launches PartnerGraph Program to Meet Growing Demand for Graph Analytics in AI and Machine Learning - New Program Enables Partners to Leverage Leading Scalable Graph Database and Analytics Platform

3.4.0 Highlights - Adding an index to collection values is now a lot easier with index() https://t.co/nn6klvcU5X #graphdb pic.twitter.com/BWVOcc957r— TinkerPop (@apachetinkerpop) January 10, 2019

3.4.0 Highlights - GraphBinary is the new network serialization format that has shown to be significantly faster than the existing options. Expect more developments to come as the 3.4.x line of code develops - https://t.co/GkTEMmmTBJ #graphdb pic.twitter.com/WTMyI8nv6l— TinkerPop (@apachetinkerpop) January 11, 2019

3.4.0 Highlights - The "g" variable,(i.e. the TraversalSource) is the gateway to writing Gremlin. TinkerPop has offered a number of ways to construct it but now those approaches are unified by the static traversal() method https://t.co/EeesiRCdQv #graphdb pic.twitter.com/FORIvmu6F3— TinkerPop (@apachetinkerpop) January 9, 2019

“3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb”