A Robust, Format-Agnostic Scientific Data Transfer Framework
A Robust, Format-Agnostic Scientific Data Transfer Framework
复制标题
强大的、与格式无关的科学数据传输框架
DOI：
10.5334/dsj-2016-012
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
J. Hester
中科院分区：
文献类型：
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作者：
J. Hester
Spivak和Kent的LOG方法(PLoS ONE 7，1(2012)pe24274)被应用到数据传输框架的实际开发中，为数据传输标准的构建和评估产生了简单的规则。这种描述的简单性、可扩展性和模块化使不熟悉复杂的本体论构造或工具集的学科专家能够将多个预先存在的标准(可能包括各种文件格式)综合到单个总体本体中。然而，这些本体捕获了所有与科学相关的先验知识，当以机器可读的形式表达时，足以在传统数据格式和现代数据格式之间进行转换。由该本体提供的与格式无关的编程接口由六个函数组成，其中只有两个函数处理数据。实现该接口的演示软件用于使用这样的本体代替中间格式在两种常见的衍射图像格式之间进行转换。
The olog approach of Spivak and Kent (PLoS ONE 7, 1 (2012) p e24274) is applied to the practical development of data transfer frameworks, yielding simple rules for construction and assessment of data transfer standards. The simplicity, extensibility and modularity of such descriptions allows discipline experts unfamiliar with complex ontological constructs or toolsets to synthesise multiple pre-existing standards, potentially including a variety of file formats, into a single overarching ontology. These ontologies nevertheless capture all scientifically-relevant prior knowledge, and when expressed in machine-readable form are sufficiently expressive to mediate translation between legacy and modern data formats. A format-independent programming interface informed by this ontology consists of six functions, of which only two handle data. Demonstration software implementing this interface is used to translate between two common diffraction image formats using such an ontology in place of an intermediate format.