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首页> 外文期刊>PLoS Computational Biology >Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources
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Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources

机译:使用语义网将WikiPathways与其他生物在线数据资源快速集成

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Author Summary WikiPathways is a crowd-sourced online platform for biological pathways. It is based on the same underlying platform as Wikipedia. Pathways are saved as graphical images embedded in a set of meta data elements (i.e. references, list of pathways elements, and context annotations). Pathways are used as proxies of biological knowledge in their role as descriptors of processes. Yet integrating these hubs of biological knowledge with other biological data resources remains challenging due to a cacophony of file formats, identifier systems, and hidden content. We show the application of the semantic web to enable a straightforward integration of heterogeneous biological data sources. We have taken high-quality pathways from a curated set from WikiPathways and converted the content into a data format native to the semantic web. Here, data is expressed as a set of statements where the statements are built upon a set of web addresses. Given the results, we successfully integrated external resources (e.g., EBI Expression Atlas) and pathway content with a single query.
机译:作者摘要WikiPathways是一个面向人群的生物途径在线平台。它基于与Wikipedia相同的基础平台。路径被保存为嵌入在一组元数据元素(即参考,路径元素列表和上下文注释)中的图形图像。途径以其作为过程描述符的作用而被用作生物知识的代理。然而,由于文件格式,标识符系统和隐藏内容的杂乱无章,将这些生物知识中心与其他生物数据资源集成在一起仍然具有挑战性。我们展示了语义网的应用,以实现异质生物数据源的直接集成。我们从WikiPathways的精选集中采用了高质量的途径,并将内容转换为语义Web固有的数据格式。此处,数据表示为一组语句,其中语句建立在一组网址上。有了结果,我们就可以通过单个查询成功整合外部资源(例如EBI Expression Atlas)和途径内容。

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