2023 Fiscal Year Annual Research Report
Temporal Knowledge Graph Construction from Text
| Project/Area Number |
21K17816
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
K. Natthawut 北陸先端科学技術大学院大学, 先端科学技術研究科, 講師 (40818100)
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | Knowledge Graph / Knowledge Acquisition / 金融 |
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| Outline of Annual Research Achievements |
This research aims to construct a temporal knowledge graph from textual data. In this fiscal year, we developed FinKG-JP, a temporal Japanese knowledge graph in the financial domain, using annual reports provided by the Financial Services Agency via EDINET. Temporal information, including details from the reports and stock prices, was extracted using our financial ontology as a template. This temporal information is encoded at the edges of the knowledge graph. For the ontology in FinKG-JP, we derived concepts from FinKG and added concepts specific to the Japanese market. Overall, FinKG-JP contains more than 5 million entities.
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