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Linking Open Drug Data: Lessons Learned

机译:链接公开药物数据:经验教训

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Linked Open Data illustrates the concept that provides an optimum solution for information and dissemination of data, through the representation of the data in an open machine-readable format and to interlink it from diverse repositories to enable diverse usage scenarios for both humans and machines. The pharmaceutical/drug industry was among the first that validated the applicability of the approach for interlinking and publishing open linked data. This paper examines in detail the process of building Linked Data application taking into consideration the possibility of reusing recently published datasets and tools. Main conclusions derived from this study are that making drug datasets accessible and publish it in an open manner in linkable format adds great value by integration to other notable datasets. Yet, open issues arose clearly when trying to apply the approach to datasets coded in languages other than English, for instance, in Arabic languages.
机译:链接的开放数据说明了一种概念,该概念通过以开放的机器可读格式表示数据并将其从不同的存储库中互连起来,从而为信息和数据的传播提供了最佳的解决方案,从而为人类和机器提供了多种使用场景。制药/药品行业是最早验证互连和发布开放链接数据的方法的适用性的公司之一。本文详细研究了构建链接数据应用程序的过程,同时考虑了重用最近发布的数据集和工具的可能性。这项研究得出的主要结论是,使药物数据集可访问并以可链接的格式以开放方式发布,通过与其他著名的数据集集成,可以增加巨大的价值。但是,当尝试将这种方法应用于以英语以外的其他语言(例如阿拉伯语)编码的数据集时,显然存在未解决的问题。

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