右领域:使用电子表格的系统生物学数据的语义丰富

K. Wolstencroft, S. Owen, C. Goble, Quyen Nguyen, Olga Krebs, Wolfgang Müller
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引用次数: 2

摘要

实验数据的解释和集成依赖于一致的元数据和统一的标注。然而,获取这种丰富的语义元数据有许多障碍,尤其是科学家收集数据的开销和复杂性。我们提出了RightField,一个轻量级的基于电子表格的注释工具,用于降低人工获取元数据的障碍;以及用于从这些丰富的电子表格中提取和查询RDF数据的数据集成应用程序。通过隐藏语义注释的复杂性,我们可以从源头上改进科学家对丰富元数据的收集。我们用SysMO程序的结果说明了该方法,表明RightField支持系统生物学中语义数据收集、提交和RDF查询的整个工作流程。RightField工具可以从http://www.rightfield.org.uk免费获得,其代码在BSD许可证下是开源的。
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RightField: Semantic enrichment of Systems Biology data using spreadsheets
The interpretation and integration of experimental data depends on consistent metadata and uniform annotation. However, there are many barriers to the acquisition of this rich semantic metadata, not least the overhead and complexity of its collection by scientists. We present RightField, a lightweight spreadsheet-based annotation tool for lowering the barrier of manual metadata acquisition; and a data integration application for extracting and querying RDF data from these enriched spreadsheets. By hiding the complexities of semantic annotation, we can improve the collection of rich metadata, at source, by scientists. We illustrate the approach with results from the SysMO program, showing that RightField supports the whole workflow of semantic data collection, submission and RDF querying in Systems Biology. The RightField tool is freely available from http://www.rightfield.org.uk, and the code is open source under the BSD License.
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