构建可追溯制造流程的数据目录，让AI优化更透明可靠。
Virtual Process Dossier: A Process-Aware Data Catalogue
- 用知识图谱建模制造流程数据与溯源关系。
- 支持前后向流程追踪，数据符合FAIR标准。
- 适合智能制造、工业AI团队使用。
我们提出虚拟流程档案（VPD），一种基于知识图谱的数据目录，同时记录工作流溯源信息。针对多阶段制造场景中下游AI优化任务需区分各流程步骤生成数据的需求，VPD以FAIR方式提供数据，并明确展示前瞻与回溯式工作流溯源。主要贡献包括：（1）作为目录语义核心的VPD本体；（2）将本体实例化集成到生产环境的溯源框架；（3）支持人类交互的VPD用户界面。代码与本体已开源于 https://github.com/kubeluk/VirtualProcessDossier。
原文摘要 · Abstract (English)
We propose the Virtual Process Dossier (VPD), a Knowledge Graph-based data catalogue that also captures workflow provenance. We developed VPD for multi-stage manufacturing use-cases where downstream AI-based optimization tasks require to distinct between datasets generated during individual workflow steps. VPD provides these datasets in a FAIR manner and makes both prospective and retrospective workflow provenance explicit. Our contributions are: (1) the VPD ontology that serves as the catalogue's semantic core; (2) the VPD provenance framework that integrates ontology instantiation into the production environment; and (3) the VPD user interface that provides human-centered interaction with the VPD Knowledge Graph. The ontology and code are available at https://github.com/kubeluk/VirtualProcessDossier .
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