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

A medical knowledge graph is a specific way that researchers can organize and display information for use in medical research and clinical applications. The concept of a knowledge graph was originally ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

A team of researchers led by professor Xindong Wu in Hefei, China has developed an unsupervised entity alignment framework to improve the process of searching for related information in multiple ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

D3FEND is a new schema released by Mitre last month to establish a common language to help cyber defenders share strategies and methods. It is a companion project to the company’s ATT&CK framework.