医学相关领域开放关联数据集调查研究

Investigation and Research on Linked Open Data Sets in Related Field of Medical Science

[目的 /意义]关联数据的研究对于数据资源的描述、组织、发布、检索、利用等具有重要意义。医学相关领域拥有庞大的数据规模和发达的数据共享实践,对该领域开放关联数据集进行系统的调查研究,对关联数据集的共享、管理、应用而言有重要的参考价值。[方法 /过程]从平台分布、主题、格式、链入链出关系、所用词表等维度就医学相关领域的85个开放关联数据集进行调查及统计分析;从药物知识发现、语义关联搜索、智慧医疗建设等方面研究关联数据集的实际应用问题。[结果 /结论]归纳医学相关领域开放关联数据集在科学研究和实践应用中的特点,以及在推动语义网发展和支持智慧医疗等方面的欠缺之处,以期促进对语义网、关联数据网络等关联数据发展与应用相关问题的进一步思考、探索和解决。

[Purpose / significance] The analysis and research on liked data are significantly important to describe,organize,retrieve and use data resources. The related field of medical science has a large volume data and advanced data sharing practice,and the systematic research on its linked open data sets is of significant value to sharing,managing and utilizing the data sets. [Method / process]This paper statistically analyzes 85 linked open data sets of medical related sciences from aspects of distribution in platforms,themes,formats,outgoing and incoming links and used vocabularies,then researches the practical usage of linked data in Drug Knowledge Discovery,Semantic Search and Smart Healthcare. [Result / conclusion]Consequently,the paper summarizes the features of linked data in scientific research and practice,as well as the weaknesses of linked open data in supporting semantic Web and smart healthcare,to promote further exploration and solution on related problems of linked data,such as semantic Web and Web of linked data.