RAPIDS cuGraph — The vision and journey to version 1.0 and beyond
The vision of RAPIDS cuGraph is to make graph analysis ubiquitous to the point that users just think in terms of analysis and not…
Defining Property Graph Schemas by using the GraphQL Schema Definition Language
Kirk Borne on Twitter: ".@DDIAlliance releases XKOS v1.2 (Extended Knowledge Organization System) specification →facilitates sharing & management of statistical classifications. (For building #Semantic Taxonomies to tag Datasets & #DataScience outputs) ht
.@DDIAlliance releases XKOS v1.2 (Extended Knowledge Organization System) specification →facilitates sharing & management of statistical classifications.(For building #Semantic Taxonomies to tag Datasets & #DataScience outputs)https://t.co/HZD1nl5Nu0#BigData #Ontologies #RDF pic.twitter.com/DDYbHqCvm7— Kirk Borne (@KirkDBorne) June 21, 2019
(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.
![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)
Transformer Commonsense Models for Knowledge Graph Construction [PDF] @abosselut et al. h/t @bill_slawski bit.ly/2XHRjjE
Transformer Commonsense Models for Knowledge Graph Construction [PDF] @abosselut et al. h/t @bill_slawski https://t.co/P5BUvjNApA pic.twitter.com/v4Gx9ExtPV— Aaron Bradley (@aaranged) June 28, 2019
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
What is a Graph Database
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.
GitHub - DeepGraph Learning Literature DL4Graph
A comprehensive collection of recent papers on graph deep learning - DeepGraphLearning/LiteratureDL4Graph
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
How to reduce the gap between OLTP and OLAP graph solutions with Spark-Tinkerpop – CGnal
GSQL Graph Algorithm Library - TigerGraph Document
Alexander Lex on Twitter
What are your options for visualizing a network with many attributes? We review the alternatives and introduce a typology in a new state of the art report. #eurovis #datavis https://t.co/96dhomPTRt w. @carolinanobre84 @miriah_meyer @marc_streit 1/8 pic.twitter.com/PCAk5ptBp3— Alexander Lex (@alexander_lex) June 4, 2019
Faster, More Scalable Stardog - Stardog
Stardog 6.2 just shipped with scalable virtual graph caching, better Kubernetes integration, support for Amazon Redshift, and many new optimizations . Read on for the details.
John Murray on Twitter: "This is what the resultant 100 retail outlet isochrone map looks like, built using Spatia and @rapidsai #cuGraph SSSP using @OrdnanceSurvey Open Roads as road graph + drive times estimated from @transportgovuk road stats #opendata
This is what the resultant 100 retail outlet isochrone map looks like, built using Spatia and @rapidsai #cuGraph SSSP using @OrdnanceSurvey Open Roads as road graph + drive times estimated from @transportgovuk road stats #opendata cc @puntofisso pic.twitter.com/rGhDinkaVX— John Murray (@MurrayData) May 28, 2019
The Power and Pitfalls of Inferencing – The Startup – Medium
Talk about the Semantic Web and Linked Data, and the conversation will usually turn towards the concept of inferencing. Inferencing is the…
Stephen Kenwright on Twitter
Google's new search quality evaluator guidelines are out, dated yesterday https://t.co/owM4OJHGGV— Stephen Kenwright (@stekenwright) May 17, 2019
The agony and the ecstasy of human label collection - Google Slides
WHAT THIS TALK IS ABOUT My personal take on the history of human label collection ter to you
The Semantic Web identity crisis: in search of the trivialities that never were | Ruben Verborgh
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…
Introducing NEuler — The Graph Algorithms Playground
Until now the only way to run Graph Algorithms on Neo4j has been to learn Cypher. The Graph Algorithms Playground changes all that.
Analyzing Flight Delays with Apache Spark GraphFrames and MapR Database | MapR
Learn how the HPE Ezmeral software portfolio can empower your business with intelligence, automation, security, and the ability to modernize your applications—fueling data-driven digital transformation, from edge to cloud.
Microsoft Academic Knowledge Graph
Industry-scale Knowledge Graphs: Lessons and Challenges - ACM Queue
This article looks at the knowledge graphs of five diverse tech companies, comparing the similarities and differences in their respective experiences of building and using the graphs, and discussing the challenges that all knowledge-driven enterprises face today. The collection of knowledge graphs discussed here covers the breadth of applications, from search, to product descriptions, to social networks.
Golden unveils a Wikipedia alternative focused on emerging tech and startups – TechCrunch
Jude Gomila, who previously sold his mobile advertising company Heyzap to RNTS Media, is taking on a new challenge — building a “knowledge base” that can fill in Wikipedia’s blind spots, particularly when it comes to emerging technologies and startups. While Gomila is officially launching Golden today, it’s already full of content about things like […]
Introducing Golden: Mapping human knowledge
After building and selling Heyzap back in 2016 I had free reign to dig into the question of “what should I really be working on?” and how to create something that would have a lasting impact on society. In part of this journey I’ve had the privilege to invest