科学数据用户相关性指标研究

发布时间：2018-06-01 13:57

  本文选题：信息检索 + 科学数据　； 参考：《数字图书馆论坛》2017年11期

【摘要】：通过对科学数据用户相关性判断行为的研究,探索科学数据相关性判断过程中所使用的指标及模式,加深对科学数据相关性判定机制的理解,为设计开发智能化数据搜索引擎提供算法和理论支撑。使用出声思考和事后访谈两种方法对用户相关性判断行为进行研究。数据在真实的环境中收集,使用摄像机记录实验过程,采用扎根理论对访谈数据进行编码分析。在定性研究的基础上设计问卷,开展大样本问卷调查。科学数据用户相关性判断过程使用的标准可以分为数据本体性和数据可用性两类,共9个指标。与其他信息类型相比,科学数据检索有更强的目的性,相关性判断过程不能缺少对数据主题性、质量和权威性的评估,其他指标在具体情境中,只有受到相关信息需求刺激才会调用。
[Abstract]:Through the research on the behavior of scientific data user correlation judgment, this paper explores the indicators and models used in the process of scientific data correlation judgment, and deepens the understanding of the scientific data correlation judgment mechanism. It provides algorithm and theory support for design and development of intelligent data search engine. This paper studies the behavior of user correlation judgment by means of sound thinking and post-interview. The data is collected in real environment, the experimental process is recorded by video camera, and the interview data is coded and analyzed by root theory. On the basis of qualitative research, a large sample questionnaire was designed. The criteria used in the process of determining the relevance of scientific data users can be divided into two categories: data ontology and data availability. Compared with other types of information, scientific data retrieval has a stronger purpose, correlation judgment process can not be lack of data thematic, quality and authoritative evaluation, other indicators in specific situations, It is called only if stimulated by the need for relevant information.
【作者单位】： 中国农业科学院农业信息研究所;国家科技基础条件平台中心;
【基金】：中国农业科学院科技创新工程项目(编号:CAAS-ASTIP-2016-AII)资助
【分类号】：G353.1
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本文编号：1964425