数字图书馆资源聚合质量评价指标构建

Construction of Evaluation Index System on the Digital Library Resource Aggregation Quality

[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。

[Purpose/significance] Under the big data environment, resource aggregation becomes the effective way to meet the needs of users of digital libraries, lint the research results of resource aggregation quality evaluation ale 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 characteristies of big data era, from the perspective of meterage and semantic, it uses inductive deduction and system theory method to buiht 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/conclusionl The quality evaluation index of digital library re- source aggregation is constructed, and the evaluation index system is explained in detail. The optimization strategy of digit- al library resource aggregation quality is put forward. The results show that under large data environment, thrnugh seman- tic and meterage method to build the quality evaluation index system of digital library resource aggregation, the theory ba- sis is sufficient, and index system is complete and reasonable. There is certain value of theoretical innovation in the pa- per.