A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making
This study introduces a comprehensive knowledge graph (KG)-based framework designed to support sustainable decision-making by integrating, enriching, and analyzing heterogeneous data sources. The proposed methodology leverages domain expertise, real-world data, and synthetic data generated through l...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/175 |
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| author | Lucas Greif Svenja Hauck Andreas Kimmig Jivka Ovtcharova |
| author_facet | Lucas Greif Svenja Hauck Andreas Kimmig Jivka Ovtcharova |
| author_sort | Lucas Greif |
| collection | DOAJ |
| description | This study introduces a comprehensive knowledge graph (KG)-based framework designed to support sustainable decision-making by integrating, enriching, and analyzing heterogeneous data sources. The proposed methodology leverages domain expertise, real-world data, and synthetic data generated through language models to address challenges in life cycle assessment (LCA), particularly data scarcity and inconsistency. By modeling the entire product lifecycle, including engineering, production, usage, and disposal phases, the framework facilitates early-stage design decision-making and provides actionable insights for sustainability improvements. The methodology is validated through a case study on 3D printing (3DP), demonstrating its ability to manage complex data, highlight relationships between engineering decisions and environmental impacts, and mitigate data scarcity in the early phases of product development in the context of LCAs. In conclusion, the results demonstrate the framework’s potential to drive sustainable innovation in manufacturing. |
| format | Article |
| id | doaj-art-145ec5b2232045d3a726a6ba3bb92f74 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-145ec5b2232045d3a726a6ba3bb92f742025-01-10T13:14:41ZengMDPI AGApplied Sciences2076-34172024-12-0115117510.3390/app15010175A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-MakingLucas Greif0Svenja Hauck1Andreas Kimmig2Jivka Ovtcharova3Institute for Information Management in Engineering, Karlsruhe Institute of Technology, 76133 Karlsruhe, GermanyInstitute for Information Management in Engineering, Karlsruhe Institute of Technology, 76133 Karlsruhe, GermanyInstitute for Information Management in Engineering, Karlsruhe Institute of Technology, 76133 Karlsruhe, GermanyInstitute for Information Management in Engineering, Karlsruhe Institute of Technology, 76133 Karlsruhe, GermanyThis study introduces a comprehensive knowledge graph (KG)-based framework designed to support sustainable decision-making by integrating, enriching, and analyzing heterogeneous data sources. The proposed methodology leverages domain expertise, real-world data, and synthetic data generated through language models to address challenges in life cycle assessment (LCA), particularly data scarcity and inconsistency. By modeling the entire product lifecycle, including engineering, production, usage, and disposal phases, the framework facilitates early-stage design decision-making and provides actionable insights for sustainability improvements. The methodology is validated through a case study on 3D printing (3DP), demonstrating its ability to manage complex data, highlight relationships between engineering decisions and environmental impacts, and mitigate data scarcity in the early phases of product development in the context of LCAs. In conclusion, the results demonstrate the framework’s potential to drive sustainable innovation in manufacturing.https://www.mdpi.com/2076-3417/15/1/175knowledge graph3D printingartificial intelligencesustainabilitylarge language models |
| spellingShingle | Lucas Greif Svenja Hauck Andreas Kimmig Jivka Ovtcharova A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making Applied Sciences knowledge graph 3D printing artificial intelligence sustainability large language models |
| title | A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making |
| title_full | A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making |
| title_fullStr | A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making |
| title_full_unstemmed | A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making |
| title_short | A Knowledge Graph Framework to Support Life Cycle Assessment for Sustainable Decision-Making |
| title_sort | knowledge graph framework to support life cycle assessment for sustainable decision making |
| topic | knowledge graph 3D printing artificial intelligence sustainability large language models |
| url | https://www.mdpi.com/2076-3417/15/1/175 |
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