本文探讨了知识图谱和可解释人工智能（XAI）如何协同工作以改进城市矿产开采流程。作者提出了四种集成模式——提升（Lifting）、约束（Constraining）、类型化（Typing）和修正（Revising）——以增强拆除前评估过程中决策的可辩护性。这些模式旨在创建仅靠知识图谱或XAI本身无法提供的监管产物，并以城市矿产的防火门为例，说明了使用W3C Linked Building Data堆栈的应用。 AI
影响 提出XAI和知识图谱的新颖集成方法，以改进城市矿产等专业领域的决策。
排序理由 学术论文，提出现有AI技术的新集成方法。[lever_c_demoted from research: ic=1 ai=1.0]
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.09578v1 Announce Type: new Abstract: Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in which AI support must serve qualified auditors who remain accountable for the decisions taken. The relevant unit of va…
Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in which AI support must serve qualified auditors who remain accountable for the decisions taken. The relevant unit of value is not prediction accuracy alone, but the de…