X-DigCheck：共同演化应用画像与知识图谱，以Rupe Magna的RTI文档为例
X-DigCheck: Co-Evolving Application Profiles and Knowledge Graphs, Demonstrated on the RTI Documentation of Rupe Magna
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- Alma Mater Studiorum – University of Bologna（博洛尼亚大学）
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中文总结 AI 辅助
X-DigCheck提出领域无关的本体-数据共同演化循环，通过RDF提升、能力问题和SHACL检查驱动画像迭代，并在文化遗产RTI应用中验证，产出可复用画像。
中文摘要 AI 辅助
我们演示了X-DigCheck，一个领域无关的环境，用于构建和维护应用画像，使其与所描述的数据共同演化。针对固定本体开发的画像会迅速偏离其原本要捕获的模式。X-DigCheck将画像构建视为一个持续的本体-数据共同演化循环：数据根据画像被提升为RDF，通过能力问题和SHACL进行检查，产生的报告共同驱动本体、映射、约束和图表的修订。该循环与领域以及生成图表的流水线无关。我们在文化遗产领域验证并演示了该工具，用于构建RupeMagna-RTI，这是文化遗产调查ODP（CHS-ODP）的首个反射变换成像（RTI）专门化，与CIDOC-CRM/CRMdig、ArCo、CHAD-KG和Getty AAT对齐，并以semRTI作为该用例的提升流水线。演示让访客运行循环的一整轮——基于随附的Rupe Magna（意大利格罗西奥）RTI调查，或基于他们自己的画像和图表——实时执行能力问题和SHACL检查，并阅读双向覆盖报告，该报告标记出建模差距和过时假设。结果是一个可移植的画像工程共同演化环境，以及通过它产生的可复用RTI应用画像。演示的截屏视频可在以下网址获取：此https URL。
英文摘要
We demonstrate X-DigCheck, a domain-independent environment for building and maintaining application profiles as they co-evolve with the data they describe. Profiles developed against a fixed ontology quickly drift from the schema they were meant to capture. X-DigCheck treats profile construction as a continuous ontology-data co-evolution loop: data are lifted into RDF against the profile, checked through competency questions and SHACL, and the resulting reports jointly drive revisions of the ontology, mappings, constraints, and graph. The loop is agnostic to the domain and to the pipeline that produces the graph. We validate and demonstrate the tool in the cultural heritage domain, on the construction of RupeMagna-RTI, the first Reflectance Transformation Imaging (RTI) specialisation of the Cultural Heritage Survey ODP (CHS-ODP), aligned with CIDOC-CRM/CRMdig, ArCo, CHAD-KG, and Getty AAT, with semRTI as the lifting pipeline of this use case. The demonstration lets visitors run one full turn of the loop -on the shipped Rupe Magna (Grosio, Italy) RTI survey, or on a profile and graph of their own -executing the competency-question and SHACL checks live and reading the bidirectional coverage report that flags modelling gaps and stale assumptions. The result is a portable co-evolution environment for profile engineering, together with a reusable RTI application profile produced through it. A screencast of the demonstration is available at https://zenodo.org/records/22210609.
