The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

The core of this patent lies in its ability to generate multimodal hybrid interview questions. The system dynamically generates personalized interview questions based on candidates' resumes and ...

The chatbot leverages Stardog’s pioneering knowledge graph platform, which is a flexible and reusable data layer that can ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Weave Network Topology Agent from Articul8 ingests network logs, configuration files, and traffic data and transforms it into ...

A study led by Jun Cheng from Xiamen University and collaborators introduces a new workflow for recommending relay catalysis pathways. The workflow uses large language models (LLMs) to extract and ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

AI is redefining how humans interact with technology by delivering deeply personalized, private, and secure experiences.

Educate AI engines with clarity, credibility, and consistency, build algorithmic trust, and become the brand they ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

A business’s website is one of the most important investments a business can make. Yet, across the globe and in Ghana, too many business websites fail to deliver value. The problem is not whether a ...

From tracking sanctions to fact-checking elections, the world’s largest free knowledge graph is proving that open data beats ...