This is a guest post by Russell Waterson, Knowledge Graph Engineer at Data Lens Ltd. Customers use knowledge graphs to consolidate and integrate information assets and make them more readily available. Building knowledge graphs by getting data from disparate existing data sources can be expensive, time-consuming, and complex. Project planning, project management, engineering, maintenance and […]

Discover the top 5 graph analytics takeaways from Gartner's Data & Analytics Summit, from creating context to improving communication.

Stanford / Winter 2021

With our new tool Stardog Explorer, it’s easier than ever to search, browse, and understand connected data. No querying, no code — just an intuitive interface that anyone can use.

Hierarchical Graph Neural Networks - Over the recent years, Graph Neural Networks have become increasingly popular in network analytic and beyond. With...

Graph Data Platform can do many rich things because the data is smart and using it is a paradigm-shifting minutes-to-millisecond experience.

Top 10 #Clubhouse users with the most powerful connections! Picked from over more than quarter a million users and 1.5M relationships! Powered by #neo4j #graphdatabase https://t.co/G0sX6I99rR pic.twitter.com/3o8yQEMgpY— Tokyo (@Ahmad_tokyo) April 22, 2021

"Graphs are forming the foundation of many modern data and analytics capabilities.” - Gartner Read the @Gartner report for more information: https://t.co/2DcE9NBVcI#data #analytics #gartner #neo4j #graphdatabases pic.twitter.com/IL9qFrsuR7— Neo4j (@neo4j) April 26, 2021

Ontotext has released GraphDB 9.7 that implements a major improvement in the memory management and a 30% reduction in the generated Java objects

Knowledge graphs bring vital changes to connected inventories for financials and enable them to save much time and expenses

I recently purchased a new laptop one with enough speed and space to let me do any number of projects that my nearly four-year-old workhorse was just not equipped to handle.

Alan Morrison's answer: You’re not generating a graph as much as you are seeding, nurturing, harvesting and consuming one. You’re putting in place a cyclical, organic process to allow the graph to grow, become useful, evolve, thrive, and—ideally—marry up with other graphs, the combination of whic...

How simple structured data trumps clever machine learning

We launched Stardog Free today, offering you the flexibility to explore Stardog for your project without commercial limitations. Check it out and enjoy...

Nicole Buckenwolf use ontologies and taxonomies to organize the product information that you see at businesses like Amazon and Etsy.

Drivine - Graph Database Client for Node.js & TypeScript

What if two of the hottest graph frameworks come together? You better come to the party! Leverages the flexibility of GraphQL in the frontend with the ... 16 comments on LinkedIn

On the role of knowledge that is structured, explicit and intelligible in providing a path toward higher machine intelligence

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I worked on some experiments on RDF-to-text generation. The goal is to generate coherent multi-sentence texts from data in a knowledge graph. While not...

Knowledge graph applications are one of the most popular graph use cases being built on Amazon Neptune today. Knowledge graphs consolidate and integrate an organization’s information into a single location by relating data stored from structured systems (e.g., e-commerce, sales records, CRM systems) and unstructured systems (e.g., text documents, email, news articles) together in a […]

Ontotext has released GraphDB 9.6 that implements a long list of usability improvements collected as input over various channels.

Amy Hodler is Director, Analytics and AI Program at Neo4j   Conventional anti-money laundering (AML) analytics fail to detect the hidden relationships that reveal criminal networks, says Neo4j’s Amy Hodler Catching money launderers is a huge and growing challenge. Criminal money laundering activities are often hidden in plain sight, within legitimate transactions. Money laundering now […]

We are excited to announce the launch of HealthECCO, a non-profit association that builds on the amazing work of the #CovidGraph Project. The core #Neo4j...

Nebula Graph 2.0 GA is here! Following hard work for nearly one year and several beta versions, Nebula Graph 2.0 is now generally available and can be ...

Getting a graph database to be performant and easy to use is very different from making a NoSQL (non-relational) database high-performing. Listen in as Todd Escalona of AWS talks with Marc Wangenheim, Senior Engineering Manager at Nike, about how the company powers a number of applications via a social graph, built on Amazon Neptune, which […]

This demo allows hands-on experience on Knowledge Graph databases by executing SPARQL queries side-by-side with their SQL counterparts.

“…And that’s why graph databases are so cool,” I say, after droning on for some time. “You get it, right?”

Announcing Stardog Explorer, a brand new way to easily explore the connections in your data. Powerful, intuitive new visualization and search capabilities make it easier for more types of users to benefit from your connected data in Stardog.

Mike Tung: "I want to propose a much simpler statement of the benefits of knowledge technologies. KG technologies are indeed useful, but the most productive... 30 comments on LinkedIn