Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
We developed a software tool to supprt editing of large-sized data with highly structured data schema representing context dependency of ontology concepts. The software tool provides functions of bulk editing of Hozo-formatted ontology data with spreadsheet program like operation. This tool is also useful for ontology refinement to improve consistency of data structure from upper classes to instances. As the recent progress of open data activity, improvement of data access methodologies to extremely large-sized and variety of open data becomes expected. This study provide a methodology of the efficient construction of large-sized data with complicated structure such as context dependency and viewpoint conversion, which may contribute to improve utility of open data across domains.