Social Semantic Web Framework for Industrial Synergies Initiation
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DOI: 10.1111/jiec.12814
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Cited by:
- Agneta Ghose & Matteo Lissandrini & Emil Riis Hansen & Bo Pedersen Weidema, 2022. "A core ontology for modeling life cycle sustainability assessment on the Semantic Web," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 731-747, June.
- Sergio Barile & Clara Bassano & Raffaele D’Amore & Paolo Piciocchi & Marialuisa Saviano & Pietro Vito, 2021. "Insights of Digital Transformation Processes in Industrial Symbiosis from the Viable Systems Approach ( vSa )," Sustainability, MDPI, vol. 13(17), pages 1-14, August.
- Chris Davis & Graham Aid, 2022. "Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 27-43, February.
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