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English(EN) Automated Construction of FAIR Digital Object Knowledge Graphs from Flat Cultural Heritage Records

LLM 管道将遗产记录转化为 FAIR 知识图谱

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个管道，使用 CIDOC-CRM 将扁平化的文化遗产记录转化为符合 FAIR 数字对象 (FDO) 标准的知识图谱。该系统采用大型语言模型来区分应作为持久标识符 (PID) 的元数据值和可保持为字面量的元数据值。该管道成功链接了 86% 的元数据槽，并解析了 58.5% 的先前未丰富的值，同时还合并了跨语言形式。 AI

影响 这项研究展示了 LLM 如何从非结构化数据中自动化创建结构化、机器可操作的知识图谱，从而可能提高文化遗产数据的可发现性和互操作性。

排序理由 该集群包含一篇详细介绍知识图谱构建新方法的学术论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LLM 管道将遗产记录转化为 FAIR 知识图谱

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zeyd Boukhers, Lingxiao Kong, Xenophon Zabulis, Georgios Toubekis ·

    从平面文化遗产记录自动化构建FAIR数字对象知识图谱

    arXiv:2608.23263v1 Announce Type: new Abstract: The FAIR Digital Object (FDO) framework mandates that metadata attribute values be expressed as persistent identifiers (PIDs) wherever possible, to produce a fully machine-actionable graph in which every reference is resolvable. The…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    从扁平化文化遗产记录中自动化构建FAIR数字对象知识图谱

    The FAIR Digital Object (FDO) framework mandates that metadata attribute values be expressed as persistent identifiers (PIDs) wherever possible, to produce a fully machine-actionable graph in which every reference is resolvable. The Europeana Data Model was designed long before t…

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