The Stanford AI Lab retweeted: The #3dscenegraph automatic semantic labeling and computation code is now available at github.com/StanfordVL/3DS…! To learn more about the project visit https://t.co/vT1sLlTosC https://t.co/eh4xf9DG0v
The #3dscenegraph automatic semantic labeling and computation code is now available at https://t.co/08lm1L35LX! To learn more about the project visit https://t.co/vT1sLlTosC pic.twitter.com/eh4xf9DG0v— Iro Armeni (@ir0armeni) February 19, 2020
There is a running joke in standards circles: God must love standards. He's made so many of them. If you spend enough time working with standards, ontologies, reference data or information modeling, you'll find yourself involved in the process of creating, modifying or defending specific standards.
.@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
The way an organization manages and disseminates its knowledge is key to informed business decision-making, effectiveness and competitive edge. 2nd edition of the Knowledge Managers Handbook by partner @plambeSG buff.ly/347oNrl https://t.co/Lk9Bj6vpin
The Web’s All-Seeing Eye: This Startup Is Getting In On Google’s Game By Searching A Trillion Facts
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.
The World's Second Largest Wikipedia Is Written Almost Entirely by One Bot
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
The XRP Ledger And Graphs: Pattern Detection And Fraud Investigation
How graph databases can be used to explore and analyse the decentralised XRP ledger, focusing on exploring networks of fraudulent accounts and distribution patterns.
The Year of the Graph in Review & the Emergence of Graph OLAP Databases
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.
Things Not Strings: Google's New Hotel Profiles Exemplify Its Approach to Entities | Street Fight
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. Quoted tweet from @fantasticlife: For anyone with the good fortune to attend the @StudyofParl conference and sit through me & @bitten_ talking about parliamentary procedu
This is great, and don’t miss the other ontologies at this excellent subdomain name.
This map shows how the most innovative companies are using knowledge graphs
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.
This Startup Is Creating A Real-Time Data Map Of The Global Economy. BlackRock And PayPal Are Buying It
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.
This Week in Neo4j - Build a just-in-time data warehouse with Neo4j Streams, Releases of Graph Algorithms and Neo4j Desktop, Stored Procedure Masterclass - Neo4j Graph Database Platform
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.
This Week in Neo4j - Link Prediction with Neo4j, Graphs for healthcare search, XRP graph, Querying Neo4j Clusters - Neo4j Graph Database Platform
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.
This Week in Neo4j – Social Knowledge Graph, COVID-19 Contact Tracing, Graph Mutability in GDS
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
Thoughts on Rich Sutton’s “Bitter Lesson” – Frank van Harmelen
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 Brings Together Pattern Matching and Efficient Graph Computation for the First Time – a Boon for Fraud Detection, Cybersecurity Protection, AI and More
TigerGraph 2.4 Enables Enterprises to Discover Deep Insights Missed by Competing Graph Databases
TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness
.@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
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