CEON: Circular Economy Ontology Network
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914623077220352 |
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| author | Li, Huanyu de Vleeschauwer, Els Keskisärkkä, Robin Lindecrantz, Mikael Pour, Mina Abd Nikooie Li, Ying De Meester, Ben Lambrix, Patrick Blomqvist, Eva |
| author_facet | Li, Huanyu de Vleeschauwer, Els Keskisärkkä, Robin Lindecrantz, Mikael Pour, Mina Abd Nikooie Li, Ying De Meester, Ben Lambrix, Patrick Blomqvist, Eva |
| contents | Increasing the circularity of resource use in our society has been recognized as a path to sustainability, i.e., transitioning into a more circular economy. There are many different circular strategies to do so, such as reusing products and components, refurbishing and remanufacturing used products, or recycling left-over or used materials. To enable these strategies, it is necessary to share information at the infrastructure level and to communicate between industry sectors along the product life cycle. Enabling semantic interoperability in this information sharing and communication is therefore a key to increasing circularity. However, knowledge representation for the circular economy (CE) domain, which involves many relevant industry sectors related to product life cycles, remains challenging. To bridge this gap, we developed the Circular Economy Ontology Network (CEON) within the Onto-DESIDE project. This ontology network aims to fill gaps in CE by defining cross-sectorial concepts and to enable semantics-aware data documentation. We demonstrate CEON through cross-industry data documentation scenarios spanning construction, electronics, and textile sectors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2606_02253 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | CEON: Circular Economy Ontology Network Li, Huanyu de Vleeschauwer, Els Keskisärkkä, Robin Lindecrantz, Mikael Pour, Mina Abd Nikooie Li, Ying De Meester, Ben Lambrix, Patrick Blomqvist, Eva Artificial Intelligence Increasing the circularity of resource use in our society has been recognized as a path to sustainability, i.e., transitioning into a more circular economy. There are many different circular strategies to do so, such as reusing products and components, refurbishing and remanufacturing used products, or recycling left-over or used materials. To enable these strategies, it is necessary to share information at the infrastructure level and to communicate between industry sectors along the product life cycle. Enabling semantic interoperability in this information sharing and communication is therefore a key to increasing circularity. However, knowledge representation for the circular economy (CE) domain, which involves many relevant industry sectors related to product life cycles, remains challenging. To bridge this gap, we developed the Circular Economy Ontology Network (CEON) within the Onto-DESIDE project. This ontology network aims to fill gaps in CE by defining cross-sectorial concepts and to enable semantics-aware data documentation. We demonstrate CEON through cross-industry data documentation scenarios spanning construction, electronics, and textile sectors. |
| title | CEON: Circular Economy Ontology Network |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2606.02253 |