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[目的 /意义]对国内外科学数据语义描述相关研究成果进行调研分析,归纳研究热点、研究特征和研究框架,总结研究中存在的不足,提出发展建议,为今后国内科学数据组织和服务提供参考和借鉴。[方法 /过程]从多个权威数据库采集国内外2007年1月至2016年12月发表的有关科学数据语义描述的期刊论文和学位论文,采用比较法和归纳法分析并揭示研究热点,并对相关研究成果进行述评。[结果 /结论]研究结果表明:(1)国内外科学数据语义描述研究很不均衡,主要研究成果集中在自然科学领域;(2)基于描述深度、加工层次和表现形式的分析维度更方便洞悉各种语义描述方法的本质特征和区别;(3)当前科学数据语义描述研究还存在不足,需要在描述对象选择、可视化检索、数据集成、知识发现等方面进行深入研究。
[Purpose / Significance] Conduct research and analysis on relevant research results of semantic description of scientific data both at home and abroad, summarize research hotspots, research features and research framework, summarize the shortcomings in the research, put forward suggestions for development and provide references for future domestic scientific data organization and services And learn from. [Methods / Processes] Periodicals and dissertations on semantic description of scientific data published from January 2007 to December 2016 at home and abroad were collected from a number of authoritative databases. The comparative and inductive methods were used to analyze and reveal research hotspots. Related research results to comment. [Results / Conclusions] The results of the research show that: (1) the research on semantic description of scientific data at home and abroad is very unbalanced, and the main research results are concentrated in the field of natural science; (2) the analysis dimension based on description depth, processing level and manifestation is more convenient to understand (3) The current researches on semantic description of scientific data are still deficient, and further studies are needed on the description of object selection, visual retrieval, data integration, knowledge discovery and so on.