As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional RDBMSs?

From a bird eye's view, the DBpedia Extraction Framework takes a MediaWiki dump as input, and turns it into a knowledge graph. In this talk, I discuss the crea…

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.

We're excited to announce the public release of Akutan, a distributed knowledge graph store, under the Apache 2.0 open source license. Akutan is the result of four person-years of exploration and engineering effort, so there's a lot to unpack here! This post will discuss what Akutan is, how it's implemented, and why we've chosen to release it as open source.

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.

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

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org - Accenture/AmpliGraph

When using a relational database, you store different information in different database tables. But what’s missing is the connective tissue, the connection between the database tables. A graph database stores the same sort of data, but is also able to store linkages between them.

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

I realized that I needed to know what the constituent parts of data models really are. Across the board, all platforms, all models etc. Is there anything similar to atoms and the (chemical) bonds that enables the formation of molecules?

By treating reifications, assertions about assertions, as first-class objects in the Semantic Web, the idea of interchange between property and semantic graphs and the ability to work with graphs using a much broader set of tools opens up.

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

Trace the safety information throughout the entire drug development lifecycle in a single intelligent system with Ontotext's solution.

Boettiger, (2019). Ecological Metadata as Linked Data. Journal of Open Source Software, 4(34), 1276, https://doi.org/10.21105/joss.01276

Augmented analytics tools, NLP search and graph analytics are the top trends for 2019 and beyond. Experts say augmented analytics and NLP are transforming how enterprises consume data and derive in...

Graph databases and document databases make up a subcategory of non-relational databases or NoSQL. NoSQL databases were created to get a handle on large amounts of messy Big Data, moving very quickly. Managers use the non-relational toolkit to gain business insights and detect patterns in information on the fly, as Big Data streams into the system. Many companies, especially those with a large web presence like Google, Facebook, and Twitter, consider NoSQL databases a must-have.

Analysing Load and Query Times across DBPedia and Yago

Cypher for Gremlin adds Cypher support to any Gremlin graph database. - opencypher/cypher-for-gremlin

Connected Data London community cast. Michael Grove: Knowledge Graphs and Graph Databases have reached unprecedented levels of interest thanks to the efforts...

Gain a basic understanding of graph-based meta data management in enterprise data governance with Apache Atlas as a prime example.

How we used the Gremlin Graph API to manage role-based access control to resources in a knowledge base application.

Norconex crawlers can now be used to harvest relationships from websites and filesystems and feed them to Neo4j.