Chinese company says DeepSeek’s AI model will enhance data mining in its platform, delivering efficiency to hospitals and ...

Shares of Chinese digital healthcare company ClouDr Group surged for a second day after it announced that it has embedded DeepSeek's artificial intelligence (AI) technology into its platform to ...

With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...

A knowledge graph is a collection of relationships between entities defined using a standardized vocabulary. It structures data in a meaningful way, enabling greater efficiencies and accuracies in ...

Edmonton police have charged a 53-year-old medical sonographer with the sexual assault of a patient, and believe there may be other victims. In a news release Wednesday, police said that in mid ...

However, the learning process can utilise valuable global information in the entire graph. In this paper, we propose a Pattern-based Knowledge Graph Completion (PKGC) method that consists of three ...

They require a knowledge graph. How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an ...

We have lived the experience and understand the impact that lack of access to medical knowledge has on patient care. Having diagnosed the issue, he set about treating it. Eolas Medical is a knowledge ...

Abstract: Graph Neural Networks (GNNs) show great power in Knowledge Graph Completion (KGC) as they can handle nonEuclidean graph structures and do not depend on the specific shape or topology of the ...

We evaluate these six prompting methods on the newly created Spider4SPARQL benchmark, as it is the most complex SPARQL-based Knowledge Graph Question Answering (KGQA) benchmark to date. Across the ...