FinKG-JP: A Japanese Financial Knowledge Graph

Natthawut KERTKEIDKACHORN; Rungsiman NARARATWONG; Ziwei XU; Ryutaro ICHISE

doi:10.11517/pjsai.JSAI2023.0_1U4IS1a03

37th (2023)

Session ID : 1U4-IS-1a-03

DOI https://doi.org/10.11517/pjsai.JSAI2023.0_1U4IS1a03

Conference information

Host: The Japanese Society for Artificial Intelligence

Name : The 37th Annual Conference of the Japanese Society for Artificial Intelligence

Number : 37

Location : [in Japanese]

Date : June 06, 2023 - June 09, 2023

FinKG-JP: A Japanese Financial Knowledge Graph

*Natthawut KERTKEIDKACHORN, Rungsiman NARARATWONG, Ziwei XU, Ryutaro ICHISE

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Keywords: Knowledge Graph, Financial Data

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Financial data contains a vast amount of information relating to financial terms and business entities. Without properly organizing the data, it is difficult for artificial intelligence (AI) systems to utilize financial knowledge effectively and efficiently. In this paper, we, therefore, present our ongoing work on constructing a Japanese Financial Knowledge Graph to aid the financial domain AI applications.

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