Data Federative Innovation

Data federative innovation focuses on collaboratively leveraging diverse datasets across different domains and organizations to generate novel insights and applications. Current research emphasizes developing methods for efficiently searching, connecting, and combining datasets, often using scenario-oriented metadata and feature concepts to bridge semantic gaps and facilitate interoperability. This approach is proving valuable in diverse fields like agriculture, where it enables intelligent data management and analysis for improved productivity and sustainability, and in AI development, where it supports the creation of innovative solutions by connecting business and technical expertise.