Kafka Graph Processing: Visual Stream Analytics with Neo4j
Visualize Kafka Streams with Neo4j by taking any data, turning it into a graph, leveraging graph processing, and piping the results back to Apache Kafka, adding visualizations to your event streaming applications.
(15) TinkerPop on Twitter: "Apache TinkerPop 3.4.3 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/XeZrz91d4V #graphdb #nosql https://t.co/lXmfraAYHi" / Twitter
Apache TinkerPop 3.4.3 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/XeZrz91d4V #graphdb #nosql pic.twitter.com/lXmfraAYHi— TinkerPop (@apachetinkerpop) August 12, 2019
Graph-based Planning, Monitoring and Reporting on project deliverables in the Kingdom of Jordan | Graphileon
Graphileon joins CovidGraph, an initiative of graph enthusiasts and companies with the goal to build a knowledge graph with relevant information about the COVID-19 virus.
The Power of Graph Technology for Marketing Medicine - The New Stack
For more complex products such as new pharmaceutical drugs, medical equipment or healthcare treatments, identifying hubs of influencers among physicians and other healthcare providers requires deep analysis of patient claims data to uncover the referral relationships.
How can companies step themselves into the world of graph databases? Neo4j thinks it has an answer. It has been offering a Startup Program for startups with 19 employees or fewer; more than 650 startups with fewer than 20 employees took advantage of having free access to Neo4j Enterprise clusters.
(8) Kelvin Lawrence on Twitter: "Practical Gremlin is now updated to cover most of the new features added in TinkerPop. As always it remains a work in progress. More details here https://t.co/xShCVkCnaF @apachetinkerpop #graphdb" / Twitter
Practical Gremlin is now updated to cover most of the new features added in TinkerPop. As always it remains a work in progress. More details here https://t.co/xShCVkCnaF @apachetinkerpop #graphdb— Kelvin Lawrence (@gfxman) July 15, 2019
(8) Tony Hammond on Twitter: "RT @atomgraphhq: CSV2RDF 2.0 released! https://t.co/2lyYzOJ6fQ CSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -…" / Twitter
CSV2RDF 2.0 released! https://t.co/2lyYzOJ6fQCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/BU9uoGXmIc— AtomGraph (@atomgraphhq) July 2, 2019
Graph data modelling - inferred vs explicit categories and labels – pablissimo.com
When building graph data models we frequently have to deal with a degree of polymorphism for our entities just like the real world. For instance – I’m a person, but I’m also a parent, a spouse, a sibling, a child, a… Implicit categorisation Sometimes the entity categories are entirely defined by relationships to other entities. […]
AI and Graph Technology: 4 Ways Graphs Add Context
Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.
Marc RobinsonRechavi on Twitter: "New preprint by Ana Claudia Sima & Tarcisio Mendes de Farias et al, with @cdessimoz and many who aren't on Twitter: Enabling Semantic Queries Across Federated Bioinformatics Databases Federating @OMABrowser @uniprot @Bgee
New preprint by Ana Claudia Sima & Tarcisio Mendes de Farias et al, with @cdessimoz and many who aren't on Twitter: Enabling Semantic Queries Across Federated Bioinformatics DatabasesFederating @OMABrowser @uniprot @Bgeedb #SPARQL #RDFhttps://t.co/zHHgrSMH8K— Marc RobinsonRechavi #WearADamnMask (@marc_rr) July 1, 2019
"In very simple terms, if you want your article, product, corporate identity, or anything else, really, to be relevant in this new world, you also need to be in the Knowledge Graphs." Richard Wallis (@rjw) on his involvement with Google and #schema.org bi
"In very simple terms, if you want your article, product, corporate identity, or anything else, really, to be relevant in this new world, you also need to be in the Knowledge Graphs." Richard Wallis (@rjw) on his involvement with Google and #schema.org https://t.co/6ldtlcLpHF— Aaron Bradley (@aaranged) July 8, 2019
Querying the first RDF Data Cube based on an existing PC-Axis/PX data cube published by @swissstatistics. Thanks to @bergi_bergos for the great converter, will be made public later
Querying the first RDF Data Cube based on an existing PC-Axis/PX data cube published by @swissstatistics. Thanks to @bergi_bergos for the great converter, will be made public later pic.twitter.com/4SJ3jpKg7e— Adrian Gschwend (@linkedktk) July 10, 2019
WikiResearch on Twitter: ""Extracting Novel Facts from Tables for Knowledge Graph Completion" - A new method for to extract novel facts from tables, based on a scalable graphical model using similarities of entities from #DBPedia and #Wikidata. (Kruit et
"Extracting Novel Facts from Tables for Knowledge Graph Completion" - A new method for to extract novel facts from tables, based on a scalable graphical model using similarities of entities from #DBPedia and #Wikidata.(Kruit et al., 2019)https://t.co/JiAuJuhqw8 pic.twitter.com/ttOrzPhF1w— WikiResearch (@WikiResearch) July 10, 2019
Big data, semantic searches, and real-time responses are the reason behind the growing demand for graph databases. This article talks about what a graph database is, why graph databases are popular, and why and when we should use a graph database.
Aaron Bradley on Twitter: "This job posting from Microsoft provides some clues about where Satori is going - and by extension what we might expect to see in Bing. The extraction and curation of information "from data sources in public domains" is especial
This job posting from Microsoft provides some clues about where Satori is going - and by extension what we might expect to see in Bing. The extraction and curation of information "from data sources in public domains" is especially interesting. https://t.co/KtMt6Rrg2i pic.twitter.com/sVI1JE1WLd— Aaron Bradley (@aaranged) May 24, 2019
![Transformer Commonsense Models for Knowledge Graph Construction [PDF] @abosselut et al. h/t @bill_slawski bit.ly/2XHRjjE](https://rdl.ink/render/https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FD-K7CcNU0AAt8Ei.png%3Alarge?width=92&height=&ar=&mode=&format=avif&dpr=2)
