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Linked Democracy | Springer for Research & Development
Linked Democracy | Springer for Research & Development
This open access book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information ab
·rd.springer.com·
Linked Democracy | Springer for Research & Development
LinkedIn
LinkedIn
GQL is an effort to standardize property #GraphDB query language. GQL project lead leaving #Neo4j, WG3 is now responsible. "There is no certainty about the success of the GQL project, but there are good objective and subjective grounds for optimism"
·linkedin.com·
LinkedIn
LinkedIn
LinkedIn
#smartcity stakeholders must build #datagovernance & management ready for all categories of #data. Required:assessment of expected current/future categories, scalable, flexible, modular design. Shared, unified, standards-based graph data model: #ontology
·linkedin.com·
LinkedIn
LinkedIn
LinkedIn
Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and ...
·linkedin.com·
LinkedIn
LinkedIn forced to ‘pause’ mentioned in the news feature in Europe after complaints about ID mix-ups | TechCrunch
LinkedIn forced to ‘pause’ mentioned in the news feature in Europe after complaints about ID mix-ups | TechCrunch
LinkedIn has been forced to ‘pause’ a feature in Europe in which the platform emails members’ connections when they’ve been ‘mentioned in the news’. This follows a number of data protection complaints after LinkedIn’s algorithms incorrectly matched members to news articles — triggering an internal review of the feature. LinkedIn told us it subsequently decided […]
·techcrunch.com·
LinkedIn forced to ‘pause’ mentioned in the news feature in Europe after complaints about ID mix-ups | TechCrunch
Listen, SQL and relational databases people: The knowledge revolution has reached the SQL world and it will change it forever.
Listen, SQL and relational databases people: The knowledge revolution has reached the SQL world and it will change it forever.
>)You may have read that companies such as Amazon, Facebook, Microsoft, JPMorgan and Bank of America have made large investments to develop their own proprietary knowledge graphs, to make “strategic use of data and extend business boundaries[1]”.How is this relevant to the “SQL World”?What does this have to do with you, the SQL/relational database professional? Why should you care that there is a new world of databases that is alien to most relational databases experts and users?For the near future maybe you shouldn’t care. After all, about 80% of the database infrastructure in the world is relational, so for you SQL is a sure bet.But wait, here’s big data, ever growing big data. Big data is complex, it has variety and it is difficult to
·linkedin.com·
Listen, SQL and relational databases people: The knowledge revolution has reached the SQL world and it will change it forever.
LIVE BLOG: R&D response to COVID-19 pandemic
LIVE BLOG: R&D response to COVID-19 pandemic
The coronavirus pandemic is disrupting universities and research institutes across the world. But the same institutions are also working very hard to find out how the disease can be stopped and its effects mitigated.
·sciencebusiness.net·
LIVE BLOG: R&D response to COVID-19 pandemic
M. Lissandrini on Twitter: "Curious about understanding the performance of a #GraphDatabase ? We investigated 35 types of operations and performed experiments on all the major #GraphDb in this #vldb paper Read more on https://t.co/13yNkohAIQ… https://t.co
M. Lissandrini on Twitter: "Curious about understanding the performance of a #GraphDatabase ? We investigated 35 types of operations and performed experiments on all the major #GraphDb in this #vldb paper Read more on https://t.co/13yNkohAIQ… https://t.co
Curious about understanding the performance of a #GraphDatabase ?We investigated 35 types of operations and performed experiments on all the major #GraphDb in this #vldb paper Read more on https://t.co/13yNkohAIQ https://t.co/9G8DFlhHDb— M. Lissandrini (@Kuzeko) February 13, 2019
·twitter.com·
M. Lissandrini on Twitter: "Curious about understanding the performance of a #GraphDatabase ? We investigated 35 types of operations and performed experiments on all the major #GraphDb in this #vldb paper Read more on https://t.co/13yNkohAIQ… https://t.co
Machine Learning on Graphs @ NeurIPS 2019 - ML Review - Medium
Machine Learning on Graphs @ NeurIPS 2019 - ML Review - Medium
#MachineLearning on Graphs becomes a first-class citizen at #AI conferences while being not that mysterious as you may have imagined @michael_galkin checks out the goodies brought by NeurIPS 2019 #knowledgegraph #deeplearning #NLP #research h/t @aaranged
·medium.com·
Machine Learning on Graphs @ NeurIPS 2019 - ML Review - Medium
Machines learn language better by using a deep understanding of words – TechCrunch
Machines learn language better by using a deep understanding of words – TechCrunch
Computer systems are getting quite good at understanding what people say, but they also have some major weak spots. Among them is the fact that they have trouble with words that have multiple or complex meanings. A new system called ELMo adds this critical context to words, producing better understanding across the board.
·techcrunch.com·
Machines learn language better by using a deep understanding of words – TechCrunch
Magic Quadrant for Metadata Management Solutions
Magic Quadrant for Metadata Management Solutions
.@Gartner Magic Quadrant for Metadata Management Solutions is out, and includes 2 vendors whose solutions rely on #knowledgegraphs #semantics #ontology #graphdatabase Congrats @datadotworld @semwebcompany https://www.gartner.com/en/documents/3970385
·gartner.com·
Magic Quadrant for Metadata Management Solutions
Making Wikidata visible | Bodleian Digital Library
Making Wikidata visible | Bodleian Digital Library
→ Cet article en Français I’ve been experimenting with a way to show how Wikidata represents knowledge; specifically how it makes pathways out of relationships between things. In a previous p…
·blogs.bodleian.ox.ac.uk·
Making Wikidata visible | Bodleian Digital Library
Managing Delivery Networks: A Use Case For Graph Databases - DEV Community 👩‍💻👨‍💻
Managing Delivery Networks: A Use Case For Graph Databases - DEV Community 👩‍💻👨‍💻
An analysis of the unique problem @TAKEALOT faced in facilitating reliable deliveries to customers and how they use a #graphdatabase to deliver a performant and scalable solution, by @filipe_ppt #retail #business #innovation #data https://dev.to/fppt/managing-delivery-networks-a-use-case-for-graph-databases-2jb0
·dev.to·
Managing Delivery Networks: A Use Case For Graph Databases - DEV Community 👩‍💻👨‍💻
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
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
·twitter.com·
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
Marko A. Rodriguez on Twitter
Marko A. Rodriguez on Twitter
My thoughts on the future of @apachetinkerpop.I believe:Apache TinkerPopA Graph Computing Frameworks==should become==>Apache TinkerPopA Distributed Computing Virtual Machine and Languagehttps://t.co/Z5BKnewpS0 #graphdb #nosql pic.twitter.com/yX2wvoRaYQ— Marko A. Rodriguez (@twarko) February 26, 2019
·twitter.com·
Marko A. Rodriguez on Twitter
Martynas Jusevicius on Twitter: "Am I the only one who thinks there's nothing really wrong with the #RDF stack? To me it's such a powerful technology that 20 years in we're still exploring what it is capable of. To do that, we need to throw out the old so
Martynas Jusevicius on Twitter: "Am I the only one who thinks there's nothing really wrong with the #RDF stack? To me it's such a powerful technology that 20 years in we're still exploring what it is capable of. To do that, we need to throw out the old so
Am I the only one who thinks there's nothing really wrong with the #RDF stack?To me it's such a powerful technology that 20 years in we're still exploring what it is capable of. To do that, we need to throw out the old software design paradigms and think graph- and Web-native.— Martynas Jusevicius (@namedgraph) November 27, 2018
·twitter.com·
Martynas Jusevicius on Twitter: "Am I the only one who thinks there's nothing really wrong with the #RDF stack? To me it's such a powerful technology that 20 years in we're still exploring what it is capable of. To do that, we need to throw out the old so
Massively parallel implementation of #Graph2Vec = scalable graph representation #algorithm learns vectors that describe whole graphs in an embedding space:github.com/benedekrozembe… by @benrozemberczki#BigData #DataScience #AI #MachineLearning #LinkedData
Massively parallel implementation of #Graph2Vec = scalable graph representation #algorithm learns vectors that describe whole graphs in an embedding space:github.com/benedekrozembe… by @benrozemberczki#BigData #DataScience #AI #MachineLearning #LinkedData
Massively parallel implementation of #Graph2Vec = scalable graph representation #algorithm learns vectors that describe whole graphs in an embedding space:https://t.co/nR0Iv2QG4u by @benrozemberczki#BigData #DataScience #AI #MachineLearning #LinkedData #GraphDB #GraphAnalytics pic.twitter.com/7INPwfeDPw— Kirk Borne (@KirkDBorne) August 25, 2019
·twitter.com·
Massively parallel implementation of #Graph2Vec = scalable graph representation #algorithm learns vectors that describe whole graphs in an embedding space:github.com/benedekrozembe… by @benrozemberczki#BigData #DataScience #AI #MachineLearning #LinkedData
Math Riddle From the 1980’s Finally Solved – Could Be Used to Improve Phones and Computers
Math Riddle From the 1980’s Finally Solved – Could Be Used to Improve Phones and Computers
Researchers thought that they were five years away from solving a math riddle from the 1980's. In reality, and without knowing, they had nearly cracked the problem already. Researchers from the University of Copenhagen and the Technical University of Denmark (DTU) thought that they were five year
·scitechdaily.com·
Math Riddle From the 1980’s Finally Solved – Could Be Used to Improve Phones and Computers