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 ...

Knowledge graph completion (KGC) aims to fill in missing entities and relations within knowledge graphs (KGs) to address their incompleteness. Most existing KGC models suffer from knowledge coverage ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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 ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

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 ...

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 ...