Background: Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among entities (e.g., genes, diseases, proteins), providing valuable ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

1 Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, United States 2 Department of Computer Science, Washington University in St. Louis, St. Louis, MO, United ...

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 ...

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 ...

Abstract: In intelligent manufacturing, the process knowledge graph serves as a vital tool for managing and reasoning about complex process knowledge. Despite its effectiveness, traditional reasoning ...

What if the messy, unstructured text clogging your workflows could be transformed into a goldmine of actionable insights? Imagine sifting through mountains of customer reviews, clinical notes, or news ...

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 ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...