Building an ontology for ESG investment using securities reports and integrated reports and extracting information using generative AI

EasyChair Preprint 15987

Abstract

In this research, we will construct an ontology based on the Financial Industry Business Ontology (FIBO) in order to systematically organize ESG (environment, society, governance) related information contained in corporate securities reports and integrated reports. Furthermore, we will utilize the constructed ontology to propose a method to automatically extract and summarize ESG information from reports using a generative AI model. Through this, we aim to enable investors and analysts to quickly and accurately understand a company's ESG risks and opportunities.

Keyphrases: ESG投資, オントロジー, 有価証券報告書, 生成AI, 統合報告書

@booklet{EasyChair:15987,
  author    = {Ryosuke Ohori},
  title     = {Building an ontology for ESG investment using securities reports and integrated reports and extracting information using generative AI},
  howpublished = {EasyChair Preprint 15987},
  year      = {EasyChair, 2025}}