Abstract The Relational to RDF Mapping Language (R2RML) became a W3C
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …

There are several Knowledge Graphs expressed in RDF (Resource Description Framework)
that aggregate/integrate data from various sources for providing unified access services and …

Neuro-Symbolic Artificial Intelligence (AI) focuses on integrating symbolic and sub-symbolic
systems to enhance the performance and explainability of predictive models. Symbolic and …

As the main channel for people to obtain information and express their opinions, online
media generate a huge amount of unstructured news documents every day and make it …

Abstract Background Knowledge graphs (KGs) remain an underutilized tool in the field of
psychiatric research. In the broader biomedical field KGs are already a significant tool …

知识图谱作为人工智能的重要分支, 因其强大的语义处理能力和数据组织能力,
可以全面整合医学概念, 挖掘潜在医学知识, 已成为医学智能化发展的重要手段. 鉴于此 …

Data Ecosystems (DE) are used across various fields and applications. They facilitate
collaboration between organizations, such as companies or research institutions, enabling …

The significant increase in data volume in recent years has prompted the adoption of
knowledge graphs as valuable data structures for integrating diverse data and metadata …

The constantly updating big data in the ocean engineering domain has challenged the
traditional manner of manually extracting knowledge, thereby underscoring the current …

Chronic hepatitis B virus (HBV) infection is still a global health problem, with over 296 million
chronically HBV-infected individuals worldwide. The merging data about clinical parameters …