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#KnowledgeGraphs & #Applications. What makes a KG what it is, is that, unlike a regular database that gets populated & stays dormant, a KG is supposed to re-purpose itself, provide new insights and inferences #datascience #AI #analytics @AnalyticsVidhya

Introduces core concepts of Linked Open Data, including URIs, ontologies, RDF formats, and a gentle intro to the graph query language SPARQL.

authored by Intuit Distinguished Engineer and Architect, Jay Yu, Distinguished Engineer and Director, Kevin McCluskey, and Distinguished Data Scientist, Saikat Mukherjee.

3DSculptor/Getty Images Every big company now manages a proliferation of sites, apps, and technology systems for interacting with buyers and managing everything in the business, from customers and clients to inventory and products. These systems are spitting out data continuously. But even after multiple generations of investments and billions of dollars of digital transformations, organizations struggle to use that data to improve customer service, reduce costs, and speed the core processes that provide competitive advantage. AI was supposed to help with that. But as an executive at a major life insurance company recently told me (Seth), “Every one of our competitors and most of the organizations of our size in other industries have spent at least a few million dollars on failed AI initiatives.” Why? My 20 years of experience working with companies on their information technology have shown me the reason: because promises of AI vendors don’t pay off unless a company’

SPARQL 1.2 Community Group. Contribute to w3c/sparql-12 development by creating an account on GitHub.

On the Role of #KnowledgeGraphs in Explainable #AI: A #MachineLearning Perspective @freddylecue @Inria h/t @aaranged @iswc_conf #iswc2019 #semex2019 #research http://www-sop.inria.fr/members/Freddy.Lecue/presentation/ISWC2019-FreddyLecue-Thales-OnTheRoleOfKnowledgeGraphsInExplainableAI.pdf

ClaimsKG, a #knowledgegraph of fact-checked claims, which facilitates structured queries about their truth values, authors, dates, journalistic reviews and other kinds of metadata. Harvests data from popular fact-checking sites, annotates w @DBpedia

With our semantic chatbot, semantize your data without even having to understand what data semantization is!

Microsoft Academic Knowledge GraphA #SPARQL endpoint to and #RDF dumps of8 Billion Triples of Scholarly Data.https://t.co/bs6pXoh9Z7https://t.co/orZEq9Dt8Jhttps://t.co/IUP8FQWk5j pic.twitter.com/KBvtdAOzwd— Ivo Velitchkov (@kvistgaard) January 8, 2019

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We are proud to announce the release of #JanusGraph 0.4.0 with CQL OLAP support, performance improvements for pre-fetching of properties, and many updated dependencies: TinkerPop, Cassandra, HBase, Bigtable, and BerkeleyDB! Download now: https://t.co/tEkjTojUs2— JanusGraph (@JanusGraph) July 11, 2019

We just launched official #JanusGraph @Docker images to simplify production deployments and testing! Check out the images at https://t.co/Vo44Bokwpu and see the docs for more info: https://t.co/VLaLwR6jcI— JanusGraph (@JanusGraph) May 8, 2019

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

.@jQAssistant is a #QA tool which allows definition & validation of project specific rules on a structural level. Built upon #Neo4j #graphdatabase, can be plugged into build process. Now w/ #PlantUML class diagrams #dataviz #softwareengineering

#W3CGraphWorkshop @b2ebs’s Keynote- Neptune seems to be favorite amazon product launch of 2018. People love graphs- “Graph let’s me integrate data like crazy”- View market as customers who could benefit from graphs- Devs from RDB find PG natural. Info arch find RDF natural pic.twitter.com/6tJDy0FKDz— Juan Sequeda (@juansequeda) March 4, 2019

#W3CGraphWorkshop Alastair Green @neo4j: - It’s always hard to agree. It’s a social process!- PG has to get organized. A lot going on: openCypher, PGQL, SQL/PGQ, G-CORE. RDF seems to be more organized. - Cooperate to define reasonable interoperation standards. pic.twitter.com/uEpZg4Jyd4— Juan Sequeda (@juansequeda) March 4, 2019

Happy to share what the Property Graph Schema Working Group has been working on for a few months. Slides https://t.co/7TzSMPobnqIndustry Survey https://t.co/MdfK1fL2wiUse Case & Requirements https://t.co/4ZuCy6zT6ZAcademic Survey https://t.co/J7rZYioIHG #W3CGraphWorkshop— Juan Sequeda (@juansequeda) March 4, 2019

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December 14, 2018 Posted by László Velinszky | Comments JUGRI: The JUpyter - GRemlin Interface...

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“How powerful are Graph Neural Networks? Slides from my talk at ITA workshop in San Diego. https://t.co/K4syDPYe82”

Just published a new version of neovis.js, a JavaScript graph visualization package designed to be used with @neo4j Graph Algorithms🎉This version includes support for TypeScript and a bugfix impacting some Angular issues. Kudos to Shoval for the PRs!https://t.co/1lXCZhgx1r pic.twitter.com/IsdLZxlhKX— William Lyon (@lyonwj) October 4, 2019

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.

KBpedia combines 6 knowledge bases (Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc), has mappings to more vocabularies. Can be used for #machinelearning, #data interoperability, knowledge-based #AI #Newrelease #knowledgegraph #opendata [LINK]http://www.mkbergman.com/2284/kbpedia-continues-quality-improvements/[/LINK] [IMAGE]http://www.mkbergman.com/wp-content/themes/ai3v2/images/2017Posts/kbpedia-logo-244.png[/IMAGE]

The baseline KBpedia version 2.00, a computable knowledge structure that integrates seven leading public knowledge bases, has now been released as open source.

Discover how graphs are everywhere with the second installment of this series from Joe Depeau as he takes to graphing the complex world of tea.

Hi Marko and welcome back! Been a bit heads down - thanks for the link. Will go have a read.— Kelvin Lawrence (@gfxman) February 27, 2019

“I just published the first update of Practical Gremlin in all formats since July. This release adds quite a bit of content and resolves many issues. Thanks as always for all the feedback and support. https://t.co/UNJzfsUg3s @apachetinkerpop #graphdb”

In part 1 of this article series, I provided a quick primer on graph data structure, acknowledged that there are several graph based algorithms with the notabl…