Digital Enterprise Research Institute, National University of Ireland Galway, IDA Business Park, Lower Dangan, Galway, Ireland.
Chin Med. 2010 Dec 17;5:43. doi: 10.1186/1749-8546-5-43.
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.
在现代药物研究中，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有效的人类治疗方法中。对传统药物中传统上使用的具有药理活性的植物和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。然而，将传统药物的研究结果整合起来可能会充满困难和误解。本文提出了一种使用链接开放数据和语义 Web 技术来解决异构数据集成问题的方法。该方法基于我们在为选定用例（即，鉴定在中国医学中使用的具有潜在抗抑郁作用的植物物种）实现集成数据网方面的初步经验。
