Entity alignment is a critical process for unifying heterogeneous data sources by identifying and linking entities that refer to the same real-world object across different knowledge graphs. This ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

In the spirit of the last couple of years, we review developments in what we have identified as the key technology drivers for the 2020s in the world of databases, data management and AI. We are ...

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 ...

The black-box era of AI development is over. Deep learning had a great run in the decade from 2010 to 2020. End-to-end deep learning networks, the technology that catapulted image classification and ...

Knowledge graphs have existed for a long time and have proven valuable across social media sites, cultural heritage institutions, and other enterprises. A knowledge graph is a collection of ...

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 ...