Knowledge graphs and ontologies form the backbone of the Semantic Web by enabling the structured representation and interconnection of data across diverse domains. These frameworks allow for the ...

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 ...

LONDON--(BUSINESS WIRE)--Cloud enterprise software leader BlackSwan Technologies has won the category for the Most Innovative Implementation of Knowledge Graph Technologies at the 2022 A-Team Insight ...

How do you solve the age-old data integration issue? We addressed this in one of the first articles we wrote for this column back in 2016. It was a time when key terms and trends that dominate today's ...

A recent scoping review provides readers with aggregated documentation of the state-of-the-art knowledge graph applications in medical imaging analysis to encourage future research. The review was ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...