Ontology Construction for Intelligent Control and Application of Crop Germplasm Resources

• Published in: Nongye tushu qingbao xuekan Vol. 36; no. 3; pp. 92 - 107
• Main Authors: FAN Kexin, XIAN Guojian, ZHAO Ruixue, HUANG Yongwen, SUN, Tan
• Format: Journal Article
• Language: Chinese
• Published: Beijing Agricultural Information Institute of Chinese Academy of Agricultural Sciences 01.03.2024; Editorial Department of Journal of Library and Information Science in Agriculture
• Subjects: germplasm resources|ontology model|knowledge graph|new quality digital productivity|computational breeding
• ISSN: 1002-1248
• DOI: 10.13998/j.cnki.issn1002-1248.24-0135

[Purpose/Significance] Breeding 4.0, characterized by "biotechnology + artificial intelligence + big data information technology," has brought new requirements for the digital management and intelligent utilization of germplasm resources. In order to meet the diverse support needs for knowledge service forms under an intelligent background, this article aims to propose an effective method for knowledge organization and deep semantic association. This is essential to address the inconveniences that discrete germplasm resource data bring to researchers when collaborating across regions and institutions. Therefore, the article presents a method that integrates fragmented domain data into a systematic knowledge system, which is particularly important. [Method/Process] By analyzing the domain data descriptions and the current organizational status, the ontology construction was performed using the seven-step method developed by Stanford University Hospital. First, existing ontologies such as the Crop Ontology, Gen