For a presentation at the Neo4j User Meeting in Tokyo I have converted the TeX Live Database into a Graph Database and represented dependencies between all kind of packages as well as files and their respective packages as nodes and relations. Update 20181010: I have worked out the first step…
ARLINGTON, Va. (PRWEB) June 21, 2018 Stardog, the leader in Enterprise Knowledge Graph technology, today announced that its Board of Directors has appointed former Opower executive Michael Sachse
Franz and Semantic Web Company Partner to Create a Noam Chomsky Knowle
OAKLAND, Calif. and VIENNA, Austria (PRWEB) September 10, 2018 Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology, AllegroGr
Explanation in artificial intelligence: Insights from the social sciences
There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparen…
Voice of Experience: IBM Cloud’s Compose for JanusGraph Uncovers Advantages of Scylla
Having heard about the advantages of Scylla, IBM’s Open Tech and Performance teams conducted a series of tests to compare Scylla with HBase and Cassandra.
Collapsing the IT Stack: Clearing a path for AI adoption
From a keynote presentation delivered at SEMANTiCS 2018 on 12 September 2018. See also the video of this talk at https://lnkd.in/gXxhaMD (starts at 15 minutes…
Data-Centric Business Transformation Using Knowledge Graphs
From a talk at the Data Architecture Summit in Chicago in 2018--reviews digital transformation and what deep transformation really implies at the data layer. C…
NDC Oslo 2018 - A Practical Guide to Graph Databases
With the emergence of offerings on both AWS (Neptune) and Azure (CosmosDB) within the past year it is fair to say that graph databases are of the hottest trend…
We will present our use case for graph databases where we search for similar malware samples based on their behavior. As an anti-virus vendor, we analyze sever…
Knowledge graphs are used in various applications and have been widely analyzed. A question that is not very well researched is: what is the price of their pro…
The original Semantic Web vision foresees to describe entities in a way that the meaning can be interpreted both by machines and humans. Following that idea, l…
Crossing the Chasm - Eight Prerequisites For A Graph Query Language
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,...
The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree. As graphs continue to see widespread adoption, we have certainly reached a tipping point for our industry. Still, it is...
by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics] Until recently, graph database designs fulfilled some but not all of the graph analytics...
Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph’s, following the tests [2] in TigerGraph’s benchmark report [3], which requires solid performance on 3-hop, 6-hop, and even 10-hop queries. Multi-hop queries on large data sets are the future of graph analytics....
‘You’re Stupid If You Don’t Get Scared’: When Amazon Goes From Partner to Rival
The Seattle giant’s cloud-computing business offers a look inside its model for expanding—even when it means moving in on allies’ turf. Some partners praise the unit’s chief for straddling the line between friend and competitor.
Type safety in the world of graph databases by Michael Pollmeier
This video was recorded at Scala Days Berlin 2018 Follow us on Twitter @ScalaDays or visit our website for more information http://scaladays.org More information and the abstract can be found here: https://eu.scaladays.org/lect-6908-type-safety-in-the-world-of-graph-databases.html
How to take advantage of scale out graph in Azure Cosmos DB : Build 2018
Real-world data is naturally connected. Learn how to create graph database applications on Azure Cosmos DB and explore the different solutions that it provides to common data scenarios in the enterprise. We will also cover customer cases that currently leverage graph databases in their day-to-day workloads. Create a Free Account (Azure): https://aka.ms/azft-cosmos
Distributed Data Show Episode 63: Building Applications on Graph Databases with Josh Perryman
We talk with Josh Perryman of Expero about his experiences building highly scalable and performant applications using relational databases, graph databases and sometimes even both at the same time. Highlights 0:15 - Jeff welcomes Josh to the show and finds out what a “data junkie” is, 1:31 - Josh got into graph databases by way of consulting in high performance computing - a client struggling with relational performance asked him to look at graph solutions 3:41 - He started by working on proof of concepts with multiple graph databases 4:49 - In this particular case, it turned out that it wa...