New industrial initiatives such as Industrie 4.0 rely on digital end-to-end engineering across the entire product lifecycle, which in turn depends on the ability of the supporting software tools to interoperate. A tool interoperability approach based on Linked Data, and the OASIS OSLC standard, has the potential to provide such integration, where each software tool can expose its information and services to other tools using the web as a common technology base. In this paper, we report on our negative findings when attempting to use existing ontology-based Linked Data access techniques to expose and manipulate the structured content managed in engineering tools. Such techniques typically target the Data Access Layer (DAL) of a tool to access and manipulate its content, with the assumption that sufficient information and control is available within this layer to automate the process. Based on a case study with the truck manufacturer Scania CV AB, our study finds that an engineering tool controls its artefacts using business logic that is not necessarily reflected at the data layer. This renders such ontology-based access techniques inadequate. Instead we propose an alternative Linked Data extraction architecture that can mitigate the identified shortcomings. While less automated compared to the existing solutions, the proposed architecture is realised as a standalone library that can still facilitate the extraction process.

新的工业计划（例如Industrie 4.0）在整个产品生命周期中都依赖数字端到端工程，而这又取决于支持软件工具进行互操作的能力。基于链接数据和OASIS OSLC标准的工具互操作性方法具有提供这种集成的潜力，其中每个软件工具都可以使用Web作为通用技术基础，向其他工具公开其信息和服务。在本文中，当我们尝试使用现有的基于本体的链接数据访问技术来公开和操纵工程工具中管理的结构化内容时，我们将报告我们的负面发现。这些技术通常针对工具的数据访问层（DAL）来访问和操纵其内容，假设在此层中有足够的信息和控制可用以使过程自动化。基于与卡车制造商Scania CV AB的案例研究，我们的研究发现，一种工程工具可以使用不一定反映在数据层的业务逻辑来控制其伪像。这使得这种基于本体的访问技术不足。相反，我们提出了一种替代的链接数据提取体系结构，可以减轻已发现的缺点。尽管与现有解决方案相比自动化程度较低，但是所建议的体系结构实现为仍可简化提取过程的独立库。我们的研究发现，工程工具可以使用不一定反映在数据层的业务逻辑来控制其伪像。这使得这种基于本体的访问技术不足。相反，我们提出了一种替代的链接数据提取体系结构，可以减轻已发现的缺点。尽管与现有解决方案相比自动化程度较低，但是所提出的体系结构被实现为仍可简化提取过程的独立库。我们的研究发现，工程工具可以使用不一定反映在数据层的业务逻辑来控制其伪像。这使得这种基于本体的访问技术不足。相反，我们提出了一种替代的链接数据提取体系结构，可以减轻已发现的缺点。尽管与现有解决方案相比自动化程度较低，但是所提出的体系结构被实现为仍可简化提取过程的独立库。