Building Knowledge Graphs Towards a Global Food Systems Datahub
Nirmal Gelal, Aastha Gautam, Sanaz Saki Norouzi, Nico Giordano,, Claudio Dias da Silva Jr, Jean Ribert Francois, Kelsey Andersen Onofre,, Katherine Nelson, Stacy Hutchinson, Xiaomao Lin, Stephen Welch, Romulo, Lollato, Pascal Hitzler, Hande K\"u\c{c}\"uk McGinty

TL;DR
This paper presents the development of ontologies and knowledge graphs to encode sustainable wheat production practices, aiming to standardize data for better analysis and AI applications in global food systems.
Contribution
It introduces a structured, logic-based approach to modeling sustainable wheat production knowledge through ontologies and knowledge graphs, filling a gap in current data representation methods.
Findings
Preliminary schemas of the knowledge graph are developed.
Ontology modeling follows a modular structure with expert input.
Data sources include public datasets, experiments, and stakeholder workshops.
Abstract
Sustainable agricultural production aligns with several sustainability goals established by the United Nations (UN). However, there is a lack of studies that comprehensively examine sustainable agricultural practices across various products and production methods. Such research could provide valuable insights into the diverse factors influencing the sustainability of specific crops and produce while also identifying practices and conditions that are universally applicable to all forms of agricultural production. While this research might help us better understand sustainability, the community would still need a consistent set of vocabularies. These consistent vocabularies, which represent the underlying datasets, can then be stored in a global food systems datahub. The standardized vocabularies might help encode important information for further statistical analyses and AI/ML approaches…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Graph Neural Networks · Semantic Web and Ontologies · Graph Theory and Algorithms
MethodsSparse Evolutionary Training · Ontology
