Abstract: Knowledge Graphs (KGs) and their machine learning counterpart, Knowledge Graph Embedding Models (KGEMs), have seen ever-increasing use in a wide variety of academic and applied settings. In ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...

The microbiome represents a complex community of trillions of microorganisms residing in various body parts and plays critical roles in maintaining host health and wellbeing. Understanding the ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...

Google’s Knowledge Graph saw its largest contraction in a decade in June: a two-stage, one-week drop of 6.26% – over 3 billion entities deleted. Since 2015, we’ve tracked the Knowledge Graph and have ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

The term “knowledge graph” has been around since 1972, but its current definition can be traced back to Google in 2012. This was followed by similar announcements from companies such as Airbnb, Amazon ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...