The graph database market is very exciting, as the long list of vendors continues to grow. You may not know that there are huge differences in the origin story of the dozens of graph databases on the market today. It’s this origin story that greatly impacts the superpowers and weaknesses of the various offerings.

Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a way to integrate information extracted from multiple data sources. Knowledge graphs have also started to play a central role in machine learning and natural language processing as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining what is being learned. This class is a graduate level research seminar featuring prominent researchers and industry practitioners working on different aspects of knowledge graphs. It will showcase how latest research in AI, database systems and HCI is coming together in integrated intelligent systems centered around knowledge graphs.The seminar will be offered over Zoom as per the planned schedule.The seminar is open to public. Remote participants may join the seminar through Zoom. To be

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Learn advanced Cypher queries for one approach to analyzing data inconsistencies directly in your flexible and forgiving Neo4j graph database.

Graph databases and analytics are getting ever more accessible and relevant

In the midst of a global pandemic, big data technologies like graph databases are demonstrating a remarkable capability to model complex interactions

TigerGraph is offering free Cloud and Enterprise Edition use for applications requiring massive data or high computation needs for Coronavirus research.

(Image sourced via Neo4j’s Twitter)I last met Emil Eifrem, the highly energetic and persuasive founder and leader of graph database and software tools firm Neo4j for diginomica back in May 2017. As he was quick to point out in our latest meeting, a lot’s changed for his company and the market he’s tried to so hard to dominate.

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/PRNewswire/ -- Stardog, the leading Enterprise Knowledge Graph platform, today announced the release of the first data model template compatible with the...

data lived in files. End of story. The files likely had different formats because each programmer was essentially maintaining their own information, but on the flip side the only person who had access to that data was the programmer, and that meant that your data was safe so long as your programmer was trustworthy.Networks had also been around since the 1960s, since computers were expensive and it was simply not efficient to have one programmer per computer. This meant that different people would have access to the same computer at the same time, usually by computers temporarily swapping out one person's data and swapping in someone else's so they had a slice of time on the CPU. That data was persisted when not in use in magnetic core memory i

GREG -The Gene Regulation Graph Database https://t.co/nTr7zahrzU— Estelle Scifo (@st3llasia) February 27, 2020

The Supreme Court of the United States as a graph database, with Justices as brown nodes, Presidents as green nodes, and appointment, promotion, succession, and the 17 historical periods/Courts associated with each Chief Justice shown through relationships. @mad_cat @tcjericho pic.twitter.com/FdDXHo82H0— 🌍 Јаков Минг Дановић 🌏 (@chenx064) March 4, 2020

Read about LinkedDataHub, how it developed as a Knowledge Graph management system and what you can use it for

up, Fluree PBC, which announced the government contract this week. Fluree is working with Air Force’s Small Business Innovation Research AFWERX technology innovation program to launch a proof of concept of the distributed ledger technology (DLT) later this year.The ledger could include intelligence gathered during military operations and supply chain parts tracking. Fluree

at Build 2017. Azure Cosmos DB was designed t be a superset of Microsoft's existing NoSQL Document DB database. Its codename was "Project Florence," and Microsoft execs consider it a "born in the cloud/cloud native" database that's designed to be scalable and usable by customers of any size.Microsoft currently charges by provisioned throughput and consumed storage by the hour for Azure Cosmos DB. Before the introduction of the free tier, M

limitless scalability.RDF and the Semantic web, w

Data, AI, intelligent applications. They’re no longer separate topics, or even separate conferences. O’Reilly announced that it is merging its data and AI conferences, saying, “Data feeds AI; AI makes sense of data.” Further, both power applications. In 2016, Ben Lorica – then program chair of the O’Reilly Strata Data and AI Conferences – predicted that soon “some features of AI will be incorporated into every application that we touch, and we won’t be able to do anything without touching an application.”

and while of course there are common patterns in REST AP

With the release of Neo4j 4.0 comes an exciting new feature, called Neo4j Fabric. The operational principle of Neo4j Fabric is in essence quite simple – it provides a way to issue Cypher queries that target more than one Neo4j graph database at once.

Introducing the Neo4j Graph Data Science plugin with examples from the “Graph Algorithms: Practical Examples in Apache Spark and Neo4j” bookIn the past couple of years, the field of data science has gained much traction. It has become an essential part of business and academic research. Combined with the increasing popularity of graphs and graph databases, folks at Neo4j decided to release a Graph Data Science (GDS) plugin. It is the successor of the Graph Algorithms plugin, that is to be deprecated.Those of you who are familiar with Graph Algorithms plugin will notice that the syntax hasn’t changed much to allow for a smoother transition. To show what has changed, I have prepared the migration guides in the form of Apache Zeppelin notebooks that can be found on GitHub.Neo4j connector for Apache Zeppelin was developed by Andrea Santurbano, who also designed the beautiful home page notebook of this project and helped with his ideas. In the migrations guides, we used the ex

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This article shows how an RDF Graph CRUD application can be rapidly developed, yet without losing the flexibility that HTML5/JavaScript offers, from which it can be concluded that there is no reason preventing the use of RDF Graphs as the backend for production-capable applications.

We demonstrate connecting a Neo4j graph database to Keras. We build a neural network achieving 100% test accuracy on a simple review…

Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient graph developers, and how non-standardization on a graph query language is slowing down enterprise adoption,...

Discover a new way to visualize and explore your connected data with SemSpect: a unique approach to graph visualization that doesn't depend on using random or best-guess Cypher queries in order to explore your data's meta-graph and that is compatible with Neo4j (including RDF datasets).

We show how to create an embedding to predict product reviews, using the TensorFlow machine learning framework and the Neo4j graph…

Learn how to use Neo4j to integrate a BigQuery public dataset with Stackdriver logs into a graph database, to surface new conclusions from complex data.