Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
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.