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
Stories on local foods handed down is important to understand the characteristics of the regional cuisine culture. In this research, we aim to construct structured open data about detailed stories including differences of local foods in each region, and to apply it to analysis and visualization. We designed a domain ontology on local foods and that on local food stories. As a result, we found that the domain ontology on local food stories requires newly defined properties such as howToEat and produceArea. In the future, we will extend the ontology of this paper using various cases gathered in various regions, and plan to apply it to "Mochi Map" developed so far.
