Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

A new imaging-enabled knowledge graph, CardioKG, uses AI to integrate cardiac structure and function with molecular data, improving target discovery, and uncovering potential therapies for heart ...

In conclusion, CardioKG is a powerful new tool that combines heart images with genetic and medical data to discover new ways ...

The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

Semantic Table Interpretation is a critical process that transforms tabular data into rich, machine-readable semantic representations by associating table elements with concepts from established ...

Gartner and Forrester agree that to achieve agile, scalable data integration, the value derived from a data fabric architecture is worthy of investigation. According to Forrester Analyst Noel Yuhanna ...

You need to understand how to influence topics in the Knowledge Graph if you want to help Google understanding your content. Here's how to do it. Knowledge Graphs can help search engines like Google ...

These past few months have not been kind to any of us. The ripples caused by the COVID-19 crisis are felt far and wide, and the world's economies have taken a staggering blow. As with most things in ...

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...