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arXiv cs.AI· Remo Grillo·· 13 小时前AI 评分18

CIDOC CRM 周期表:可测试的文档工具,助力人文领域科研本体落地

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

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论文发布 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 条属性条目渲染为单页可导航界面。

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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.
Subjects: Digital Libraries (cs.DL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.28650 [cs.DL]
  (or arXiv:2610.28650v1 [cs.DL] for this version)
  https://doi.org/10.48550/arXiv.2610.28650

arXiv-issued DOI via DataCite

Submission history

From: Remo Grillo [view email]
[v1] Tue, 6 Oct 2026 15:39:42 UTC (818 KB)

来源:arXiv cs.AI · arxiv.org