| 数字图书馆资源聚合质量评价指标构建 |
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| 引用本文： | 闫晶,毕强,李洁.数字图书馆资源聚合质量评价指标构建[J].图书情报工作,2017,61(24):5-12. |
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| 作者姓名： | 闫晶 毕强 李洁 |
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| 作者单位： | 1. 吉林大学管理学院 长春 130022;
2. 东北电力大学经济管理学院 吉林 132012 |
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| 基金项目： | 本文系国家自然科学基金项目"语义网络环境下数字资源多维度聚合与可视化研究"（项目编号：71273111）研究成果之一。 |
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| 摘 要： | 目的/意义]大数据环境下,资源聚合成为满足多元化数字图书馆用户知识需求的有效途径和迫切需要,但资源聚合质量评价研究成果较少,本研究从计量和语义视角展开研究,以期深化相关理论,在实践层面指导数字图书馆采取切实有效措施提升资源聚合质量。方法/过程]基于国内外文献确立评价依据,从计量和语义视角,结合大数据时代特点,运用归纳演绎、系统论方法构建了包括11个一级指标、26项二级指标的评价指标体系,在此基础上对评估数据采集和指标度量进行阐述。结果/结论]构建数字图书馆资源聚合质量评价指标,对评价指标体系进行详细解释。研究结果表明,针对大数据环境,基于语义和计量视角构建数字图书馆资源聚合质量评价指标体系,理论依据充分,指标体系系统、完整、合理,具有一定的理论创新价值。
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| 关 键 词： | 数字图书馆 资源聚合 质量评价 语义 大数据 |
| 收稿时间： | 2017-07-24 |
Construction of Evaluation Index System on the Digital Library Resource Aggregation Quality |
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| Yan Jing,Bi Qiang,Li Jie.Construction of Evaluation Index System on the Digital Library Resource Aggregation Quality[J].Library and Information Service,2017,61(24):5-12. |
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| Authors: | Yan Jing Bi Qiang Li Jie |
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| Institution: | 1. School of Management, Jilin University, Changchun 130022;
2. School of Economics and Management, Northeast Electric Power University, Jilin 132012 |
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| Abstract: | Purpose/significance] Under the big data environment, resource aggregation becomes the effective way to meet the needs of users of digital libraries, but the research results of resource aggregation quality evaluation are few. From the perspective of meterage and the semantic study, this paper tries to deep the related theory, also to take effective measures in practice to guide the digital library to enhance the resource aggregation quality.Method/process] Based on the literature at home and abroad, combined with the characteristics of big data era, from the perspective of meterage and semantic, it uses inductive deduction and system theory method to build the evaluation index system which includes 11 primary indicators and 26 secondary indicators. And then on the basis of the index system, the paper expounds the data collection assessment and indicators measurement.Result/conclusion] The quality evaluation index of digital library resource aggregation is constructed, and the evaluation index system is explained in detail. The optimization strategy of digital library resource aggregation quality is put forward. The results show that under large data environment, through semantic and meterage method to build the quality evaluation index system of digital library resource aggregation, the theory basis is sufficient, and index system is complete and reasonable. There is certain value of theoretical innovation in the paper. |
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| Keywords: | digital library resource aggregation uality evaluation semantic big data |
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