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Toward Automated Inventory Modeling in Life Cycle Assessment: The Utility of Semantic Data Modeling to Predict Real-World Chemical Production
A set of coupled semantic data models, i.e., ontologies, are presented to advance a methodology toward automated inventory modeling of chemical manufacturing in life cycle assessment. The cradle-to-gate life cycle inventory for chemical manufacturing is a detailed collection of the material and ener...
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| Udgivet i: | ACS Sustain Chem Eng |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7336534/ https://ncbi.nlm.nih.gov/pubmed/32632354 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acssuschemeng.7b03379 |
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