研究人员开发了循环经济本体网络（CEON），以解决循环经济领域知识表示的挑战。该本体网络旨在提高产品生命周期中各行业信息共享的语义互操作性。CEON 定义了跨部门概念，并支持语义感知的数据文档记录，已在建筑、电子和纺织品领域进行了场景演示。 AI
影响 提供了一个结构化的知识表示框架，能够为循环经济倡议中更复杂的人工智能应用提供支持。
排序理由 该集群包含一篇详细介绍新本体网络的学术论文。
在 Hugging Face Daily Papers 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2606.02253v1 Announce Type: new Abstract: 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 prod…
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 remanufact…
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 remanufact…