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Tag Archives: AI

The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019

How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different. What is different about knowledge graphs is that they […]

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Graphs in the cloud. The Year of the Graph Newsletter: April 2019

The first sign of convergence in the graph space is here. Graph databases continue to grow, expand, and make their way to the cloud, a number of open source frameworks for working with graphs has been released, and a slew of new interesting use cases. One of the takeaways of the recent W3C Workshop on […]

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Knowledge graphs, AI, and interoperability. The Year of the Graph Newsletter: February 2019

Knowledge graphs are spreading everywhere: from Airbnb and eBay to Alexa, and from using JSON-LD on the web for better SEO to leveraging taxonomy to define AI. Combining knowledge graphs and machine learning, benchmarking graph databases, and W3C initiative for interoperability shaping up. January 2019 has been a lively month in the graph landscape. A […]

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The Year of the Graph Newsletter: July 2018

What is a graph database? Do you really need one, and if yes, how do you choose? That’s what it all comes down to. This month’s edition of the Year of the Graph newsletter is special. Apart from the usual hubbub, which is somewhat slower this time of year, this month the Year of the […]

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