FinKG-JP: A Japanese Financial Knowledge Graph

Natthawut KERTKEIDKACHORN; Rungsiman NARARATWONG; Ziwei XU; Ryutaro ICHISE

doi:10.11517/pjsai.JSAI2023.0_1U4IS1a03

37th (2023)

セッションID: 1U4-IS-1a-03

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

会議情報

主催: The Japanese Society for Artificial Intelligence

会議名: 2023年度人工知能学会全国大会（第37回）

回次: 37

開催地: 熊本城ホール＋オンライン

開催日: 2023/06/06 - 2023/06/09

FinKG-JP: A Japanese Financial Knowledge Graph

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

著者情報

キーワード: Knowledge Graph, Financial Data

会議録・要旨集フリー

詳細

抄録

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.

責任著者(Corresponding author)

会議情報

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