Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
Knowledge graphs enhance AI applications, e.g. recommendation systems and question-answering systems, with their vast connections of knowledge to better model real-world knowledge. However, despite their increasing importance, the process by which humans construct them is challenging owing to the limited capabilities of knowledge graph management systems available to date. In this study, we identify major challenges on knowledge graph management and introduce a unified workbench for the knowledge graph management platform, namely UWKGM. At its core, the platform operates as RESTful API services while also offers an interactive user interface for end-users. Our interactive demonstration underlines the platform’s key features and the scenarios where it can streamline the knowledge graph management process.