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In this article, we argue that a knowledgegraphbuilt with semantictechnology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Okay, YouGot a KnowledgeGraphBuilt with SemanticTechnology… And NowWhat?
Frequently dubbed too difficult to build or too complicated to understand, semantictechnology is increasingly gaining popularity. In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. Not surprisingly, everyone seems to have or want to have a knowledgegraph.
As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledgegraphs easier and richer.
Imagine starting your day with a friend who’s always looking out for you. Now, they not only know whether all systems are operational, what our destination is or the speed limits ahead, but can also track the road conditions and the traffic around us to keep us safe. Well, it’s all thanks to knowledgegraphs.
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