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CIDOC CRM 周期表:支持采用人文科学研究本体的可测试文档

The CIDOC CRM Periodic Table: Documentation You Can Test to Support the Adoption of Scientific Research Ontologies for the Humanities

Remo Grillo

中文摘要

CIDOC CRM 系列并非仅面向博物馆馆藏模式;其扩展还形式化了研究知识的生成与论证机制,包括科学观察与测量模型 CRMsci、数字过程溯源模型 CRMdig,以及推理与信念模型 CRMinf。其采用障碍主要在文档层:现有体系包含四份规范文档、四套代码约定,以及横跨文档边界的 89 条类型化链接。CIDOC CRM 周期表将 CIDOC CRM 7.1.3、CRMsci 3.2、CRMdig 5.0 和 CRMinf 1.2.1 中的 131 个类与 480 条属性整合到单页浏览器界面,并提供单步三元组构建器和多步路径查找器。前者依据声明的定义域、值域及子类闭包限制类—属性组合,后者枚举两个类之间的属性链。模型先合并至同一代码索引字典,再计算层级闭包,因此两项工具均可解析跨模型链路。论文记录了 CRMsci 的加入及其带来的三项跨模型测试,并报告 56 个月分析数据的初步采用信号及其可支持的解读。

关键要点

  1. 01研究知识本体采用的主要障碍是文档分散、约定不一与跨边界链接复杂
  2. 02单页周期表统一呈现四个 CIDOC CRM 扩展中的 131 个类和 480 条属性
  3. 03两项推理工具分别构建受约束三元组,并查找类之间的多步属性路径
  4. 04统一模型字典与层级闭包支持解析跨模型边界的关系链
  5. 05论文依据 56 个月分析数据报告本体采用情况的初步信号

解读

尚无解读。

原始英文摘要

arXiv:2610.28650v1 Announce Type: cross Abstract: The CIDOC CRM family is not only a schema for museum collections. Its extensions formalise the apparatus through which research knowledge is produced and justified: CRMsci models scientific observation and measurement, CRMdig the provenance of digital processes, CRMinf inference and belief. Together they constitute a schema for research data, and the obstacle to their adoption is documentary rather than theoretical: four normative documents, four code conventions, and eighty-nine typed links crossing document boundaries. This paper presents the CIDOC CRM Periodic Table, a single-page browser rendering 131 classes and 480 property entries from CIDOC CRM 7.1.3, CRMsci 3.2, CRMdig 5.0 and CRMinf 1.2.1 as one navigable surface, with two inference facilities: a one-step triple builder admitting only the class-property combinations licensed by declared domains, ranges and the subclass closure, and a multi-step path finder enumerating property chains between two classes. Because all loaded models are merged into one code-keyed dictionary before the hierarchy closures are computed, both resolve chains that cross model boundaries; we document the addition of CRMsci and the three cross-model tests it made possible, and report preliminary uptake signals from 56 months of analytics, with the reading they support.

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