数字图书馆论坛Issue(11)：28-34,7.DOI:10.3772/j.issn.1673-2286.2017.11.005
科学数据用户相关性指标研究
An Exploratory Research on Scientific Data User Relevance Criteria
摘要
Abstract
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.关键词
信息检索/科学数据/用户相关性/标准Key words
Information Retrieval/Scientific Data/User Relevance/Criteria分类
社会科学引用本文复制引用
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):28-34,7.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. （编号:CAAS-ASTIP-2016-AII）
