Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
33rd (2019)
Session ID : 1F4-OS-17b-02
Conference information

A Method for Judging the Semantic Similarity between Crops from Farm Management Articles based on Agricultural Knowledge Graph
*Sungmin JOOHideaki TAKEDAAkane TAKEZAKITomokazu YOSHIDA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

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.

Content from these authors
© 2019 The Japanese Society for Artificial Intelligence
Previous article Next article
feedback
Top