GraphNews

Try not to Move the #Data. Why? --> https://t.co/xqcHebQrGCRead Interview with #SemanticsConf #Keynote Speaker Michael J. Sullivan from @Oracle#knowledgemanagement #KnowledgeGraphs #IoT #tech #AI #KI #BigData #ML #SemanticWeb #MachineLearning #Industry40 #FinTech #LegalTech pic.twitter.com/dMNPE8hWY4— SEMANTiCS Conference (@SemanticsConf) April 12, 2019

Knowledge graphs make speech recognition and text analytics immediately accessible, enabling real-time customer interactions that can maximize business objectives and revenues.

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up, Fluree PBC, which announced the government contract this week. Fluree is working with Air Force’s Small Business Innovation Research AFWERX technology innovation program to launch a proof of concept of the distributed ledger technology (DLT) later this year.The ledger could include intelligence gathered during military operations and supply chain parts tracking. Fluree

One of Uber's experts in building knowledge graphs, Joshua Shinavier advises fellow data scientists that "real data is messy, but the fact is, if you want to build an enterprise knowledge graph, you have to deal with it."

The biggest challenge for enterprise IT is connecting data because unconnected data is a liability.

When using a relational database, you store different information in different database tables. But what’s missing is the connective tissue, the connection between the database tables. A graph database stores the same sort of data, but is also able to store linkages between them.

News and the global capital markets are inextricably linked. Recent developments in machine learning, knowledge graphs, and language technology have enabled increasingly intelligent ways to obtain a market advantage based on real-world events. This talk details how Bloomberg uses these technologies to quickly understand and respond to major world events in order to predict when or how breaking business news will move markets – and why.

News and the global capital markets are inextricably linked. Recent developments in machine learning, knowledge graphs, and language technology have enabled increasingly intelligent ways to obtain a market advantage based on real-world events. This talk details how Bloomberg uses these technologies to quickly understand and respond to major world events in order to predict when or how breaking business news will move markets – and why.

#Google Applying BERT models to Search, understanding searches better than ever before. Last year, #opensource #neuralnetwork-based technique for natural language processing was introduced enabling anyone to train question answering system #AI #ML

learning, understanding what an entity is will help you connect content and search engines better understand your website.

Posted by Anton Tsitsulin, Research Intern and Bryan Perozzi, Senior Research Scientist, Graph Mining Team, Google Research

semanti… https://t.co/d0FvOQ2HlK

Using #Semantic #SEO & Structured #Data to Future proof Your Search Strategy with @cyberandy h/t @TheodoraPetkova #knowledgegraph

Presentation made at EMWCon Spring 2019

Knowledge graph data models show meaningful relationships between data, allowing knowledge and data assets to be understood by both humans and machines.

If the GLAM sector does not express its collections in linked data, it will not have a voice in the evolving forms of discovery and preservation being

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]

Refinitiv ( Former Financial and Risk Business of Thomson Reuters) uses SHACL. Our Metadata Registry is entirely made from SHACL models. Additional shacl files to enforce conformance with our URI strategy, provenance standards and smaller data patterns etc.— Varitimou Natasa (@nvaritimou) April 1, 2019

An Introduction to #Ontology Engineering: Version 1.5 of the textbook now available online #knowledgegraph #datamodel #tutorial #data #tech #datascience h/t @aarranged

Very nice article highlighting recent proof that complete graphs can be decomposed into smaller multiple trees. twitter.com/QuantaMagazine…

commerce recommendations and financial risk management.

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Today I'd like to share an idea. It's a very simple idea. It's not fancy and it's certainly not new. In fact, I'm sure many of you have thought about it already. But if you haven't—and even if you have!—I hope you'll take a few minutes to enjoy it with me. Here's the idea: Every matrix corresponds to a graph. So simple! But we can get a lot of mileage out of it.To start, I'll be a little more precise: every matrix corresponds to a weighted bipartite graph. By "graph" I mean a collection of vertices (dots) and edges; by "bipartite" I mean that the dots come in two different types/colors; by ...

IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore

Visualizations are key to communicating messages and taking complicated ideas and making them simpler to interpret.

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

type of CreativeWork: it is the domain of nine properties. Man

DreamWorks picks Gremlin to weave digital marvels