GraphNews

Knowledge graphs are at the core of many of the tools that we use in our daily lives, such as voice assistants (Alexa, Siri or Google Assistant), intuitive search applications and even online store recommenders. Not only internet giants but also companies from other industries such as BBC, Capital One, Electronic Arts or AstraZeneca have already integrated the technology and are using knowledge graphs to harness the power of all of the data they have accumulated over the years.

Knowledge Graph – A Powerful #DataScience Technique to Mine Information from Text. Learn how to build #knowledgegraph using text from Wikipedia pages, using #Python & popular spaCy #opensource library #softwaredevelopment #data #tutorial @AnalyticsVidhya

Learn how to leverage breadth-first search and dijkstra's algorithm to build a route planning application with Memgraph and Cypher.

taking app popping up every single week, it can be hard to decide which one is the best for your use case.

Boosterme is a project, in construction, to build a personal knowledge graph.

The way in which general encyclopaedic knowledge is collected, curated and used has changed dramatically. Anyone in the world can edit Wikipedia at any time, as a registered user or anonymously. This happens in parallel in different languages. To include all even minority languages and avoid a misal

A practical overview of graph machine learning approaches and how to apply them to your work

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In this post we show you how to load the Bitcoin blockchain efficiently into a graph database in a single day.

Parts of #Google Search, including BERT, go #opensource. BERT helps Google better understand intent of some queries, nothing to do w page content. You can’t optimize for BERT. But BERT can be used for text summarization #SEO #semantics #AI @hamletbatista

Call records analysis with graph visualization.

And Find out who are the most Influencers in Game of ThronesContinue reading on Towards Data Science »

#Healthcare #knowledgegraphs typically compiled manually by experts. Researchers experimented w automatically generating KGs from patient #data. MIT #research studies how well they hold up across different diseases/patient populations #EmergingTech #AI

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In this episode of the ARCHITECHT Show, founder and CEO Emil Eifrem discusses the sustaining value of graph databases, more than a decade since the first release of Neo4j and terms like "social graph" and "knowledge graph" became commonplace. Eifrem also talks about the business of NoSQL and details the 5 factors -- focus, pervasiveness, ecosystem, data, vertical integration -- he believes can help infrastructure companies compete against similar offerings from large cloud providers. Before the Eifrem interview, host Derrick Harris speaks with founder and CEO Gleb Budman about his company's...

Payday loans are daily life emergency savers. Get a chance to release yourself from a financial burden by knowing how it works online.

As a data modeler I’m always searching for ways to learn more about data modeling. The more I read and learn about it – on top of what I have already learned and used -, the more sense it all…

This article shows how an RDF Graph CRUD application can be rapidly developed, yet without losing the flexibility that HTML5/JavaScript offers, from which it can be concluded that there is no reason preventing the use of RDF Graphs as the backend for production-capable applications.