| 高飞,石蕾,王健,张贵兰,刘建平.科学数据用户相关性指标研究[J].数字图书馆论坛,2017,(11):28~34 |
| 科学数据用户相关性指标研究 |
| An Exploratory Research on Scientific Data User Relevance Criteria |
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| DOI： |
| 中文关键词: 信息检索;科学数据;用户相关性;标准 |
| 英文关键词: Information Retrieval;Scientific Data;User Relevance;Criteria |
| 基金项目:本研究得到中国农业科学院科技创新工程项目(编号:CAAS-ASTIP-2016-AII)资助. |
| 作者 | 单位 | | 高飞 | 中国农业科学院农业信息研究所 | | 石蕾 | 国家科技基础条件平台中心 | | 王健 | 中国农业科学院农业信息研究所 | | 张贵兰 | 中国农业科学院农业信息研究所 | | 刘建平 | 中国农业科学院农业信息研究所 |
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| 摘要点击次数: 1904 |
| 全文下载次数: 1268 |
| 中文摘要: |
| 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. |
| 英文摘要: |
| The paper aimed at exploring the scientific user relevance criteria by studying the relevance judgment behavior, to deepen the understanding of user relevance judgment mechanism, and to provide algorithm and theoretical basis for designing and developing intelligent data search engine. The study was conducted by two methods, which is think aloud and interview. The data were col ected in real environment, and the whole process was recorded by camera. The analysis of verbal reports was based on Grounded Theory. On the basis of qualitative research, a questionnaire was designed to carry out a large sample of questionnaires. The scientific user relevance criteria can be divided into two categories:data ontology and data availability, a total of 9 criteria. Compared with other information types, scientific data retrieval was more purposeful so it was necessary to evaluate the topicality, quality and authority of the data in relevance judgment process. Other criteria would be called only when stimulated by the relevant information needs in specific circumstances. |
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