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Tracking provenance semantics in heterogeneous execution systems

机译:跟踪异构执行系统中的出处语义

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摘要

Digital artifacts result from complex, heterogeneous work processes involving content management, process execution, and curation. Accordingly, systems for tracking provenance of digital artifacts need to be able to integrate heterogeneous descriptions produced by loosely coupled or independent software components and work processes. In the approach described in this paper, two independently developed execution environments, D2K and Cyberlntegrator, were instrumented by their developers to produce process and content descriptions in the form of resource description framework (RDF) statements. Using the open-source Kowari RDF database, these heterogeneous semantic descriptions were integrated to demonstrate the general applicability of RDF databases to answering provenance-related queries. The results suggest that the 'open-world' semantic model provided by RDF, and the powerful query languages provided by RDF databases, can be extended to integrate a wide variety of heterogeneous provenance-related information with minimal investment in new standard API's, metadata formats, and execution environments.
机译:数字工件来自涉及内容管理,流程执行和管理的复杂,异构的工作流程。因此,用于跟踪数字人工产物的来源的系统需要能够集成由松散耦合或独立的软件组件和工作过程产生的异构描述。在本文描述的方法中,开发人员使用了两个独立开发的执行环境D2K和Cyber​​Integrator,以资源描述框架(RDF)语句的形式生成过程和内容描述。使用开放源代码的Kowari RDF数据库,这些异构的语义描述被集成在一起,以展示RDF数据库在回答与起源相关的查询方面的一般适用性。结果表明,可以扩展RDF提供的“开放世界”语义模型以及RDF数据库提供的强大查询语言,从而以最小的投资来集成新的标准API,元数据格式,从而整合各种与不同来源相关的信息。以及执行环境。

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