Semantic Graph Framework for Sustainable Wheat Production Data
A recent paper introduces the Sustainable Wheat Production Datahub, a modular graph framework designed to integrate various wheat production datasets into a unified, queryable repository. Utilizing the Knowledge Acquisition and Representation Methodology (KNARM) in collaboration with domain experts, the framework features ontologies focused on nutrient and disease management, specifically nitrogen fertilization and fungicide application. These ontologies are interconnected through a bridging layer that facilitates cross-domain links. The knowledge graph incorporates data from field trials, expert insights, and environmental information. The paper can be accessed on arXiv under identifier 2502.19507.
Key facts
- The paper presents the Sustainable Wheat Production Datahub, a modular graph-based framework.
- The framework integrates diverse wheat production datasets into a single queryable store.
- It uses the Knowledge Acquisition and Representation Methodology (KNARM) with domain experts.
- Ontologies for nutrient management and disease management were developed.
- The ontologies cover nitrogen fertilization and fungicide-based disease control.
- The ontologies are federated and joined by a bridging layer of cross-domain links.
- The knowledge graph is populated with data from field trials, expert knowledge, and environmental data.
- The paper is available on arXiv with identifier 2502.19507.
Entities
Institutions
- arXiv