The Connected Data platform provides a Community, Events, and Thought Leadership for those who use the Relationships, Meaning and Context in Data to achieve great things. We've been Connecting Data, ...

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Reasoning about graphs, and learning from graph data is a field of artificial intelligence that has recently received much attention in the machine learning areas of graph representation learning and ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Contrary to popular belief, the most meaningful developments in ...

Abstract: Reasoning about data given uncertain future conditions is a crucial component of modern decision support systems. While ontologies allow domain-specific data to be represented in knowledge ...

Abstract: At present, there are several issues with large-scale domain dynamic knowledge graphs including incomplete acquisition of original data, low accuracy with knowledge extraction and knowledge ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language ...

In the database management world, graph database is huge right now. Industry and vendor-neutral site DB Engines has shown that, since 2014, the graph data model has far outpaced every other data model ...