Sustainability assessments are increasingly critical for evaluating the environmental impacts of business activities. Life-cycle assessment (LCA) is a key methodology in measuring these impacts, but integrating and analyzing data from diverse enterprise data sources to compute LCA indicators remains a challenging task. In this paper, we propose an approach that leverages Knowledge Graphs to formally model LCA indicators and their associated mathematical calculation formulas. The graph serves as a flexible schema supporting enterprises in documentation and mathematical interpretation of indicators for LCA, by linking their internal data sources to the Graph. On top of it, a suite of reasoning-based services is presented to automate the calculation of indicators from available data sources through algebraic manipulation, and to facilitate collaboration among a network of enterprises by enabling consistent comparison of sustainability assessments
A Knowledge Graph Framework for Impact Calculation in Life-Cycle Assessment / Diamantini, C.; Potena, D.; Rossetti, C.; Storti, E.. - 4002:(2025), pp. 32-38. (Intervento presentato al convegno 3rd International Workshop on Knowledge Graphs for Sustainability, KG4S 2025 tenutosi a Portoroz (Slovenia) nel June 1st, 2025).
A Knowledge Graph Framework for Impact Calculation in Life-Cycle Assessment
Rossetti C.;
2025
Abstract
Sustainability assessments are increasingly critical for evaluating the environmental impacts of business activities. Life-cycle assessment (LCA) is a key methodology in measuring these impacts, but integrating and analyzing data from diverse enterprise data sources to compute LCA indicators remains a challenging task. In this paper, we propose an approach that leverages Knowledge Graphs to formally model LCA indicators and their associated mathematical calculation formulas. The graph serves as a flexible schema supporting enterprises in documentation and mathematical interpretation of indicators for LCA, by linking their internal data sources to the Graph. On top of it, a suite of reasoning-based services is presented to automate the calculation of indicators from available data sources through algebraic manipulation, and to facilitate collaboration among a network of enterprises by enabling consistent comparison of sustainability assessmentsFile | Dimensione | Formato | |
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https://hdl.handle.net/11583/3003932