Semantics for interoperability of distributed data and models: Foundations for better-connected information
Semantics for interoperability of distributed data and models: Foundations for better-connected information
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DOI：
10.12688/f1000research.11638.1
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
F. Villa;S. Balbi;I. Athanasiadis;Caterina Caracciolo
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文献类型：
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作者：
F. Villa;S. Balbi;I. Athanasiadis;Caterina Caracciolo
对独立产生的信息进行正确且可靠的关联是实现复杂应用和处理流程的一项要求。这些最终有助于应对复杂系统（如社会生态系统）带来的挑战，其众多组成部分只能通过独立开发的数据和模型产品来描述。我们讨论了在数据和模型语义标注的概念和方法方面的一项调查的初步成果，旨在实现高标准的信息互操作性。这些成果在一个关于生态系统服务评估的长期、活跃的大型项目中得以实施，包括：基于语义和尺度的互操作性定义；作为科学观测基础的现象学的概念基础，旨在指导领域社区中的语义标注实践；一种专用语言和软件基础设施，它将研究结果付诸实践，并使从业者能够从数据和模型的互操作性中获益。所呈现的工作是对活跃在社会生态系统建模领域的社区近十年工作的首次详细描述。在基于对尺度的理解确定了可能的互操作性的边界之后，我们讨论了这些研究结果在实际应用中的例子，以获得一致的、可互操作的且适合机器处理的语义规范，这些规范能够整合不同领域和学科的语义。
Correct and reliable linkage of independently produced information is a requirement to enable sophisticated applications and processing workflows. These can ultimately help address the challenges posed by complex systems (such as socio-ecological systems), whose many components can only be described through independently developed data and model products. We discuss the first outcomes of an investigation in the conceptual and methodological aspects of semantic annotation of data and models, aimed to enable a high standard of interoperability of information. The results, operationalized in the context of a long-term, active, large-scale project on ecosystem services assessment, include: A definition of interoperability based on semantics and scale; A conceptual foundation for the phenomenology underlying scientific observations, aimed to guide the practice of semantic annotation in domain communities; A dedicated language and software infrastructure that operationalizes the findings and allows practitioners to reap the benefits of data and model interoperability. The work presented is the first detailed description of almost a decade of work with communities active in socio-ecological system modeling. After defining the boundaries of possible interoperability based on the understanding of scale, we discuss examples of the practical use of the findings to obtain consistent, interoperable and machine-ready semantic specifications that can integrate semantics across diverse domains and disciplines.