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RightField: Semantic enrichment of Systems Biology data using spreadsheets

机译:RightField:使用电子表格语义丰富系统生物学数据

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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.
机译:实验数据的解释和整合取决于一致的元数据和统一的注释。但是,获取这种丰富的语义元数据存在许多障碍,尤其是科学家收集其的开销和复杂性。我们提出了RightField,这是一种基于电子表格的轻量级注释工具,可降低手动元数据获取的障碍。以及一个数据集成应用程序,用于从这些丰富的电子表格中提取和查询RDF数据。通过隐藏语义标注的复杂性,我们可以从源头上改善科学家对丰富元数据的收集。我们以SysMO程序的结果来说明该方法,该结果表明RightField支持Systems Biology中语义数据收集,提交和RDF查询的整个工作流程。可从http://www.rightfield.org.uk免费获得RightField工具,该代码在BSD许可下是开源的。

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