FinCaKG-Onto: the financial expertise depiction via causality knowledge graph and domain ontology

Causality stands as an essential relation for elucidating the reasoning behind given contents. However, current causality knowledge graphs fall short in effectively illustrating the inner logic in a specific domain, i.e. finance. To generate such a functional knowledge graph, we propose the multi-faceted approach encompassing causality detection module, entity linking module, and causality alignment module to automatically construct FinCaKG-Onto with the guidance of expert financial ontology - FIBO. In this paper, we outline the resources and methodology employed for FinCaKG-Onto construction, present the schema of FinCaKG-Onto, and share the final knowledge graph FinCaKG-Onto. Through various user scenarios, we demonstrate that FinCaKG-Onto not only captures nuanced domain expertise but also explicitly unveils the causal logic for any anchor terms. To facilitate your convenience of future use, a check table is conducted as well to showcase the quality of FinCaKG-Onto. The related resources are available in the webpage<https://www.ai.iee.e.titech.ac.jp/FinCaKG-Onto/>.