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.

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

How to calculate TF-IDF in @Neo4j using only Cypher. TD-IDF is used in an #NLP pipeline to calculate the importance of a term within a document compared to a set of documents as a whole.Say you have a model of (:Document)-[:MENTIONS]->(:Term)1/— Adam Cowley (@adamcowley) April 6, 2019

Facebook AI has created and is now open-sourcing PyTorch-BigGraph (PBG), a tool that makes it much faster and easier to produce graph embeddings for extremely large graphs.

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?

TigerGraph 2.4 Enables Enterprises to Discover Deep Insights Missed by Competing Graph Databases

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.

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

New @ManningBooks early access book: "Graph-Powered Machine Learning" by Dr. Alessandro Negro @AlessandroNegro #MachineLearning #neo4j #AmazonNeptune #DataScience https://t.co/XpxZK3jw0g pic.twitter.com/xntecIh0Yh— John Dhabolt (@Dhabolt) October 17, 2018

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

Learn more about the Closeness Centrality graph database algorithm, which measures how a central a node is within its cluster.

In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?— Aaron Bradley (@aaranged) January 29, 2019

Albany, US, 2019-Jan-23 — /EPR Network/ —Market Research Hub (MRH) has actively included a new research study titled “Global Graph Database Market” Size

In this post I explain common issues with query performance in Neo4j and how you may solve them using the Query Log Analyser tool.

Short comparision of #SPARQL and #GraphQL by @RubenVerborgh. One SPARQL Query can go against multiple SPARQL endpoints in a natural way - that is not equal to schema stitching in GraphQL because there is no need for schema assumptions of different #API's: https://t.co/RWYuvBSIqX— Francis Opoku (@fraopo) December 23, 2018

Luis Bosquez, Program Manager for Azure Cosmos DB shares an overview of the Graph/Gremlin API, and best practices app developers can use when building apps using the graph data model and Apache Tinkerpop Gremlin language. http://www.azurecosmosdb.com Graph/Gremlin API - Documentation: https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction About Azure Cosmos DB: Azure Cosmos DB is a fully-managed NoSQL database service offering unlimited and elastic scalability of throughput and storage, and guaranteed speed and performance anywhere in the world.