Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019

Knowledge graphs become a centerpiece of Accenture and Microsoft’s toolkits. Knowledge graph lessons from Google, Facebook, eBay, IBM. Graph algorithms and analytics by Neo4j and Nvidia. Connected Data London and JSON-LD goodness, tips and tools for building and visualizing knowledge graphs, using graphs with Elixir and Typescript, and Geometric Deep Learning for a 3D world, […]

Post Tagged with Accenture, Algorithms, Analytics, Connected Data London, CosmosDB, DataStax, Deep Learning, eBay, Facebook, Google, GPU, IBM, JSON-LD, Linked Data, Linkurious, Microsoft, Neo4j, nVidia, Open Source, SEO, Uber, Visualization

Posted byadmin
Posted in News, Newsletter, Year of the Graph
May, 17, 2019
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Graphs in the cloud. The Year of the Graph Newsletter: April 2019

The first sign of convergence in the graph space is here. Graph databases continue to grow, expand, and make their way to the cloud, a number of open source frameworks for working with graphs has been released, and a slew of new interesting use cases. One of the takeaways of the recent W3C Workshop on […]

Post Tagged with AI, Apache, ArangoDB, eBay, Enterprise Knowledge Graphs, Facebook, Google, Gremlin, Linked Data, Linkurious, Machine Learning, Neo4j, Open Source, RDF, Research, Taxonomy, Tigergraph, Visualization, ZDNet

Posted byadmin
Posted in Analysis, News, Newsletter, Technical, Year of the Graph
Apr, 15, 2019
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A gravitational wave moment for graph. The Year of the Graph Newsletter: March 2019

A gravitational wave moment for the graph community in the W3C Workshop on Web Standardization for Graph Data. Gartner includes Graph as Trend #5 in its Top 10 Data and Analytics Technology Trend for 2019. And graphs continuing to make waves in the real world in every possible way. The graph community may have had […]

Post Tagged with AllegroGraph, Apache, AWS, Blockchain, chatbots, Dgraph, Gartner, Google, JSON, JSON-LD, Linked Data, Neo4j, Neptune, Open Data, Open Source, Provenance, Research, Semantics, SEO, Tinkerpop, W3C, ZDNet

Posted byadmin
Posted in Analysis, News, Newsletter, Year of the Graph
Mar, 14, 2019
1 Comment.

Knowledge graphs, AI, and interoperability. The Year of the Graph Newsletter: February 2019

Knowledge graphs are spreading everywhere: from Airbnb and eBay to Alexa, and from using JSON-LD on the web for better SEO to leveraging taxonomy to define AI. Combining knowledge graphs and machine learning, benchmarking graph databases, and W3C initiative for interoperability shaping up. January 2019 has been a lively month in the graph landscape. A […]

Post Tagged with AI, Airbnb, Alexa, Benchmark, Cambridge Semantics, Connected Data London, Data Integration, Deep Learning, eBay, Elsevier, Enterprise Knowledge Graphs, JSON-LD, Machine Learning, Ontology, Ontotext, Query Language, RDF, Semantics, SKOS, SPARQL, standards, Taxonomy, W3C, Yoast

Posted byganadiotis
Posted in Analysis, Events, News, Newsletter, Year of the Graph
Feb, 03, 2019
1 Comment.

In Between Years. The Year of the Graph Newsletter: January 2019

In between years, or zwischen den Jahren, is a German expression for the period between Christmas and New Year. This is traditionally a time of year when not much happens, and this playful expression lingers itself in between the literal and the metaphoric. As the first edition of the Year of the Graph newsletter for […]

Post Tagged with AgensGraph, Apache, Benchmark, CosmosDB, DataStax, Deep Learning, GraphQL, KNIME, Neo4j, Ontology, Open Source, OrientDB, PostgreSQL, review, SPARQL, Stardog, Tinkerpop, Visualization

Posted byganadiotis
Posted in News, Newsletter, Technical, Year of the Graph
Jan, 14, 2019
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The Year of the Graph Newsletter: December 2018

Redis announces RedisGraph and a benchmark, TigerGraph goes AWS, AWS hands-on experiences, new features from Stardog and AnzoGraph, Graphs and Machine Learning, GraphQL, Atlas, DBpedia, Connected Data London and the Year of the Graph. I often get asked about graph databases – what they are, what are they good for, how to choose one, as […]

Post Tagged with AnzoGraph, Atlas, AWS, Connected Data London, DBpedia, Deep Learning, GraphQL, Neo4j, Neptune, Open Data, Open Source, Redis, Stardog, Tigergraph

Posted byganadiotis
Posted in Events, News, Newsletter, Year of the Graph
Dec, 03, 2018
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The Year of the Graph Newsletter: November 2018

October 2018 was the busiest month in the busiest year in graph history, hence the longest Year of the Graph newsletter to date. Neo4j lands a massive funding round, Tinkerpop is moving forward, the most important knowledge graph research event with key industry presence, W3C organizing a Workshop on Web Standardization for Graph Data, and […]

Post Tagged with Azure, Connected Data London, Docker, Enterprise Knowledge Graphs, Google, GraphDB, Gremlin, ISWC, KBpedia, Linked Data, Machine Learning, MarkLogic, Neo4j, RDF, SalesForce, Solid

Posted byganadiotis
Posted in Analysis, Events, News, Newsletter, Year of the Graph
Nov, 04, 2018
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The Year of the Graph Newsletter: October 2018

Getting knowledge graph semantics and definitions right, semantic web standards used in the real world, by Google no less, and ArangoDB, Azure CosmosDB, Neo4j and TigerGraph announcing new versions. By now you probably know that knowledge graphs are in Gartner’s Hype Cycle. But how does one actually define a knowledge graph? My take on ZDNet. […]

Post Tagged with ArangoDB, CosmosDB, Enterprise Knowledge Graphs, Google, Neo4j, RDF, schema.org, Semantics, Stardog, Tigergraph

Posted byganadiotis
Posted in Analysis, News, Newsletter, Year of the Graph
Oct, 01, 2018
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The Year of the Graph Newsletter: September 2018

Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune. Not bad for a typical summer vacation month such as August. This edition of the Year […]

Post Tagged with Analytics, AWS, Big Data, CosmosDB, Data Science, Enterprise Knowledge Graphs, Ethereum, Gremlin, Linked Data, Machine Learning, Microsoft, Neo4j, Neptune, Open Source, R, RDF, SPARQL, Stardog, Tigergraph, Tinkerpop, Visualization

Posted byganadiotis
Posted in Analysis, News, Newsletter, Technical, Year of the Graph
Sep, 02, 2018
1 Comment.

The Year of the Graph Newsletter: July 2018

What is a graph database? Do you really need one, and if yes, how do you choose? That’s what it all comes down to. This month’s edition of the Year of the Graph newsletter is special. Apart from the usual hubbub, which is somewhat slower this time of year, this month the Year of the […]

Post Tagged with AI, AllegroGraph, AnzoGraph, ArangoDB, AWS, CosmosDB, DSE, Graph, GraphDB, GraphX, Gremlin, Machine Learning, MarkLogic, Neo4j, Neptune, Report, Spark, Tigergraph

Posted byganadiotis
Posted in Analysis, News, Newsletter, Year of the Graph
Jul, 19, 2018
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