[1F4-OS-17b] 農業とAI(2)

[1F4-OS-17b-02] A Method for Judging the Semantic Similarity between Crops from Farm Management Articles based on Agricultural Knowledge Graph

〇Sungmin Joo¹, Hideaki Takeda¹, Akane Takezaki², Tomokazu Yoshida² (1. National Institute of Informatics, 2. The National Agriculture and Food Research Organization)

Keywords:Agriculture, Agriculture Informatics, Agriculture Activity, Crop

Terminology in the agricultural field are difficult to process data automatically since they are often used in various expressions.
It is especially difficult for crops whose names vary depending on the agriculture activity, edible parts or cultivation method in which various names are used.
This study suggests semantic analysis using agricultural knowledge graph to solve these problems.
This study also confirmed that the use of knowledge graph's semantic structure not only enabled the extraction of agriculture activity and the crop name clearly, but also enabled agriculture-specific analysis.