Host: The Japanese Society for Artificial Intelligence
Name : The 36th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 36
Location : [in Japanese]
Date : June 14, 2022 - June 17, 2022
To process human knowledge with computers, various technologies are being studied, such as knowledge graphs. To enable sharing or reuse of knowledge by different applications, there must be rules or guidelines so that the same knowledge can be represented with the same knowledge graphs. The author proposed using the Entity-Relationship Model (ERM) for defining the concepts to be used in knowledge graphs. In this approach, individual knowledge graphs are constructed by instantiating an ERM, and knowledge graphs constructed this way can be shared or reused by different applications. However, the ERM can only represent simple propositions. This paper proposes using the Segmented Discourse Representation Theory (SDRT) for representing complex propositions as knowledge graphs. With this method, it is possible to construct complex knowledge graphs that can be shared or reused by different applications. This paper also proposes using FrameNet for defining the ERM so that the knowledge graphs constructed from the ERM can be shared or reused among different domains.
