Abstract
Climate-related risks have recently emerged as critical factors in financial risk management, resulting in significant demand for
reliable and standardized sustainability data. In response, the European Union (EU) has established regulatory frameworks mandating corporations of varying sizes to disclose key sustainability indicators. These developments facilitate improved quantitative risk management through consistent and accessible sustainability data published by corporations in their respective reports. However, reporting from diverse and heterogeneous data sources necessitates structured methods for storing and organizing domain knowledge, enabling efficient data access and retrieval. To address these challenges, we introduce an ontology designed to function as a schema for constructing a Knowledge Graph (KG) that integrates data essential for assessing climate risks within financial institutions’ loan portfolios. Following established ontology modeling practices, our approach reuses and extends existing ontologies, ensuring alignment with the latest EU reporting standards specified in the Corporate Sustainability Reporting Directive (CSRD). This ontology, which is made publicly available, supports the assessment of transition climate risks, e.g., through a portfolio temperature alignment framework and further enhances capabilities for information extraction, identification of data gaps, and analysis of data integrity within sustainability reports.
reliable and standardized sustainability data. In response, the European Union (EU) has established regulatory frameworks mandating corporations of varying sizes to disclose key sustainability indicators. These developments facilitate improved quantitative risk management through consistent and accessible sustainability data published by corporations in their respective reports. However, reporting from diverse and heterogeneous data sources necessitates structured methods for storing and organizing domain knowledge, enabling efficient data access and retrieval. To address these challenges, we introduce an ontology designed to function as a schema for constructing a Knowledge Graph (KG) that integrates data essential for assessing climate risks within financial institutions’ loan portfolios. Following established ontology modeling practices, our approach reuses and extends existing ontologies, ensuring alignment with the latest EU reporting standards specified in the Corporate Sustainability Reporting Directive (CSRD). This ontology, which is made publicly available, supports the assessment of transition climate risks, e.g., through a portfolio temperature alignment framework and further enhances capabilities for information extraction, identification of data gaps, and analysis of data integrity within sustainability reports.
| Original language | English |
|---|---|
| Title of host publication | 11th Spanish German Symposium on Applied Computer Science (SGSOACS 2025) |
| Publisher | Springer |
| Publication status | Accepted/In press - 2 Jun 2025 |
| Event | 11th Spanish German Symposium on Applied Computer Science - Vienna, Austria Duration: 30 Jun 2025 → 3 Jul 2025 Conference number: 11 https://sgsoacs.eu/ |
Conference
| Conference | 11th Spanish German Symposium on Applied Computer Science |
|---|---|
| Abbreviated title | SGSOACS 2025 |
| Country/Territory | Austria |
| City | Vienna |
| Period | 30/06/25 → 3/07/25 |
| Internet address |