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Graph data modelling - inferred vs explicit categories and labels – pablissimo.com
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. […]
·pablissimo.com·
Graph data modelling - inferred vs explicit categories and labels – pablissimo.com
What is a Graph Database
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.
·c-sharpcorner.com·
What is a Graph Database
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
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
·twitter.com·
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
The Semantic Web identity crisis: in search of the trivialities that never were | Ruben Verborgh
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…
·ruben.verborgh.org·
The Semantic Web identity crisis: in search of the trivialities that never were | Ruben Verborgh
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
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.
·dataversity.net·
Graph Database vs. Document Database: Different Levels of Abstraction - DATAVERSITY
Aaron Bradley on Twitter: "In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?"
Aaron Bradley on Twitter: "In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?"
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
·twitter.com·
Aaron Bradley on Twitter: "In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?"
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Albany, US, 2019-Jan-23 — /EPR Network/ —Market Research Hub (MRH) has actively included a new research study titled “Global Graph Database Market” Size
·express-press-release.net·
Global Graph Database Market Size, Prospects, Growth Trends, Key Trend, Future Expectations and Forecast from 2019 to 2025 – Express Press Release Distribution
Andrei Kashcha on Twitter
Andrei Kashcha on Twitter
https://t.co/7T0EOs6yG7 - Made this tiny tool to discover related subreddits.The graph is created based on jaccard similarity between two subreddits. Jaccard similarity is constructed from set of shared users.Source code https://t.co/J9r1jl1JjR pic.twitter.com/4hcg7mI4sg— Andrei Kashcha (@anvaka) January 10, 2019
·twitter.com·
Andrei Kashcha on Twitter
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY
“3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb”
·twitter.com·
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY