What are your options for visualizing a network with many attributes? We review the alternatives and introduce a typology in a new state of the art report. #eurovis #datavis https://t.co/96dhomPTRt w. @carolinanobre84 @miriah_meyer @marc_streit 1/8 pic.twitter.com/PCAk5ptBp3— Alexander Lex (@alexander_lex) June 4, 2019

Stardog 6.2 just shipped with scalable virtual graph caching, better Kubernetes integration, support for Amazon Redshift, and many new optimizations . Read on for the details.

This is what the resultant 100 retail outlet isochrone map looks like, built using Spatia and @rapidsai #cuGraph SSSP using @OrdnanceSurvey Open Roads as road graph + drive times estimated from @transportgovuk road stats #opendata cc @puntofisso pic.twitter.com/rGhDinkaVX— John Murray (@MurrayData) May 28, 2019

Talk about the Semantic Web and Linked Data, and the conversation will usually turn towards the concept of inferencing. Inferencing is the…

Google's new search quality evaluator guidelines are out, dated yesterday https://t.co/owM4OJHGGV— Stephen Kenwright (@stekenwright) May 17, 2019

WHAT THIS TALK IS ABOUT My personal take on the history of human label collection ter to you

For a domain with a strong focus on unambiguous identifiers and meaning, the Semantic Web research field itself has a surprisingly ill-defined sense of identity. Started at the end of the 1990s at the intersection of databases, logic, and Web, and influenced along the way by all major tech hypes such as Big Data and machine learning, our research community needs to look in the mirror to understand who we really are…

Until now the only way to run Graph Algorithms on Neo4j has been to learn Cypher. The Graph Algorithms Playground changes all that.

Learn how the HPE Ezmeral software portfolio can empower your business with intelligence, automation, security, and the ability to modernize your applications—fueling data-driven digital transformation, from edge to cloud.

This article looks at the knowledge graphs of five diverse tech companies, comparing the similarities and differences in their respective experiences of building and using the graphs, and discussing the challenges that all knowledge-driven enterprises face today. The collection of knowledge graphs discussed here covers the breadth of applications, from search, to product descriptions, to social networks.

Jude Gomila, who previously sold his mobile advertising company Heyzap to RNTS Media, is taking on a new challenge — building a “knowledge base” that can fill in Wikipedia’s blind spots, particularly when it comes to emerging technologies and startups. While Gomila is officially launching Golden today, it’s already full of content about things like […]

After building and selling Heyzap back in 2016 I had free reign to dig into the question of “what should I really be working on?” and how to create something that would have a lasting impact on society. In part of this journey I’ve had the privilege to invest

It was hard to top last year’s demonstration of the new Microsoft 365 experienced powered by the Microsoft Graph. The focus this year shifted to how the graph could break down application and device silos to make everyday applications more user-centric.

One of Uber's experts in building knowledge graphs, Joshua Shinavier advises fellow data scientists that "real data is messy, but the fact is, if you want to build an enterprise knowledge graph, you have to deal with it."

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…

Keynote talk given at the 41st European Conference on Information Retrieval (ECIR 2019)

Learn more about text-mined knowledge graphs and see how to build one with Grakn.

The unprecedented in-depth analysis enabled by graph analytics can produce risk warnings faster and better than was possible ten years ago.

Try not to Move the #Data. Why? --> https://t.co/xqcHebQrGCRead Interview with #SemanticsConf #Keynote Speaker Michael J. Sullivan from @Oracle#knowledgemanagement #KnowledgeGraphs #IoT #tech #AI #KI #BigData #ML #SemanticWeb #MachineLearning #Industry40 #FinTech #LegalTech pic.twitter.com/dMNPE8hWY4— SEMANTiCS Conference (@SemanticsConf) April 12, 2019

Grab your free copy of the brand new O'Reilly book, "Graph Algorithms: Practical Examples in Apache Spark & Neo4j" – a practical guide to graph analytics.

yWorks’ submission to the Graph Drawing Contest 2018 in Barcelona, Spain

Moving data between semantic and property graphs

AI Business is dedicated to bringing relevant information regarding AI in the enterprise