Towards a Global Food Systems Datahub

Tracking #: 3688-4902

Authors: 
Hande Kucuk McGinty
Cogan Shimizu
Pascal Hitzler
Ajay Sharda

Responsible editor: 
Cogan Shimizu

Submission type: 
Editorial
Abstract: 
The need for a knowledge graph-powered hub is multi-faceted. At its core, the knowledge graph offers a semantically rich structure that mimics the interconnectedness of real-world systems, allowing for a nuanced representation of data relationships. This facilitates the application of foundational AI research areas such as multi-modal spatiotemporal deep learning, explainable AI, and neuro-symbolic question answering. With these technologies, we can analyze and understand the function and malfunctions of agricultural systems, predict outcomes, and make recommendations that are transparent and justifiable.
Full PDF Version: 
Tags: 
Reviewed

Decision/Status: 
Accept