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Integrating findings of traditional medicine with modern pharmaceutical research: the potential role of linked open data

机译:将传统医学的发现与现代药物研究相结合:链接的开放数据的潜在作用

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摘要

One of the biggest obstacles to progress in modern pharmaceutical research is the difficulty of integrating all available research findings into effective therapies for humans. Studies of traditionally used pharmacologically active plants and other substances in traditional medicines may be valuable sources of previously unknown compounds with therapeutic actions. However, the integration of findings from traditional medicines can be fraught with difficulties and misunderstandings. This article proposes an approach to use linked open data and Semantic Web technologies to address the heterogeneous data integration problem. The approach is based on our initial experiences with implementing an integrated web of data for a selected use-case, i.e., the identification of plant species used in Chinese medicine that indicate potential antidepressant activities.
机译:现代药物研究取得进展的最大障碍之一是难以将所有可用的研究结果整合到对人类有效的疗法中。对传统药物活性植物和传统药物中其他物质的研究可能是以前未知的具有治疗作用的化合物的宝贵来源。但是,将传统医学的发现整合在一起可能会充满困难和误解。本文提出了一种使用链接的开放数据和语义Web技术来解决异构数据集成问题的方法。该方法是基于我们在针对特定用例实施综合数据网的初步经验的基础上进行的,即识别中药中指示潜在抗抑郁活性的植物物种。

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