情报研究

基于关联数据的科研机构评价指标权重计算方法研究

  • 蒋世银
展开
  • 中国科学院文献情报中心 北京 100190
蒋世银(ORCID:0000-0002-2038-4027),助理馆员,硕士,jiangsy@mail.las.ac.cn。

收稿日期: 2016-03-14

  修回日期: 2016-07-05

  网络出版日期: 2016-08-20

Research on Weigh Computing Method of Evaluation Indicators of Scientific Research Institution Based on LOD

  • Jiang Shiyin
Expand
  • National Science Library, Chinese Academy of Sciences, Beijing 100190

Received date: 2016-03-14

  Revised date: 2016-07-05

  Online published: 2016-08-20

摘要

[目的/意义] 科研评价中指标权重计算的合理性将直接影响科研机构评价结果的客观性和准确性,本文提出利用信息论方法来计算指标权重,为指标权重计算提供一种新的思路。[方法/过程] 基于DBpedia数据集,利用信息论方法计算出的指标权重和上海交通大学世界大学排行榜已有的指标权重,同时对榜单前100名大学机构进行排名,并将排名结果进行对比分析。[结果/结论] 实验发现利用本文提出的权重计算方法得出的机构得分结果与上海交通大学已有指标权重的得分结果皮尔逊相关性为0.980,斯皮尔曼相关性为0.939,并且其排名顺序和上海交通大学给出的排名顺序皮尔逊相关性和斯皮尔曼相关性均为0.939。以上两个排名结果的得分相关性和排名相关性极强,证明本研究中关联数据的权重计算方法的有效性。

本文引用格式

蒋世银 . 基于关联数据的科研机构评价指标权重计算方法研究[J]. 图书情报工作, 2016 , 60(16) : 110 -115 . DOI: 10.13266/j.issn.0252-3116.2016.16.013

Abstract

[Purpose/significance] The rationality of calculating the indicators weight in the scientific research evaluation directly affects the accuracy and objectivity of evaluation results of scientific research institution. This paper proposes a new method for computing the indicators weight by the information theory.[Method/process] Based on the DBpedia set and information theory, it computes the indicator weight and uses the existing indicator weight of Shanghai Jiaotong University's World University Rankings, makes a ranking experiment on the list of top 100 universities and makes a comparative analysis on the two kinds of ranking results.[Result/conclusion] The Pearson correlation between the score results with the proposed weight computing method and of Shanghai Jiaotong University's existing weights is 0.980, Spearman correlation is 0.939. The Pearson correlation and Spearman correlation between its ranking order and Shanghai Jiaotong University's are both 0.939. The score correlation and rank correlation of above two ranking results are very strong, and prove the validity of the weight computing method based on the linked data in this study.

参考文献

[1] 徐耀玲.评估指标权重设计方法与案例分析[J].科技促进发展,2011(1):62-66.
[2] 金志农,李端妹,金莹,等.地方科研机构绩效考核指标及其权重计算——基于专家分析法和层次分析法的对比研究[J].科技管理研究,2009(12):103-104.
[3] 王晖,陈丽,陈垦,等.多指标综合评价方法及权重系数的选择[J].广东药学院学报,2007(5):583-588.
[4] ZAVERI A,VISSOCIJR N,DARAIO C,et al.Using linked data to evaluate the impact of research and development in Europe:a structural equation model[C]//Proceedings of ISWC 2013.Australia:Springer,2013:244-259.
[5] 戴西超,张庆春.综合评价中权重系数确定方法的比较研究[J].煤炭经济研究,2003(11):37.
[6] 于洋,李一军.基于多策略评价的绩效指标权重确定方法研究[J].系统工程理论与实践,2003,23(8):8-15.
[7] 邢红宇.基于AHP法和Delphi法的网络课程评价指标体系设计研究[J].中国电化教育,2006(9):78-81.
[8] 陶菊春,吴建民.综合加权评分法的综合权重确定新探[J].系统工程理论与实践,2001(8):43-48.
[9] 庄万玉,凌丹,赵瑾,等.关于敏捷性评价指标权重的研究[J].电子科技大学学报,2006(6):985-988.
[10] MEYMANDPOUR R,DAVIS J G.Ranking universities using linked open data[EB/OL].[2015-06-06].http://ceur-ws.org/Vol-996/papers/ldow2013-paper-09.pdf.
[11] GRSY R M.Entropy and information theory[M].New York:Springer,2009.
[12] EDWARDS S.Elements of information theory,2nd edition[J].Information processing&management,2008,44(1),400-401.
[13] SHANNON C E.A mathematical theory of communication[J].Bell system technical journal,1948,27:379-423.
[14] 杜鹃,马莉.信息论在数据挖掘领域中的应用[J].电脑知识与技术,2010,6(35):9934-9936.
[15] 熵值法确定权重算法及Matlab实现[EB/OL].[2016-01-13].http://www.ilovematlab.cn/thread-452528-1-1.html.
[16] ZHANG H P.Application on the entropy method for determination of weight of evaluating index in fuzzy nathematics for wine quality assessment[J].Advance Journal of Food Science&Technology,2015,7(3):195-198.
[17] 指标权重确定方法之熵权法[EB/OL].[2015-10-12].http://blog.sina.com.cn/s/blog_710e9b550101aqnv.html.
[18] MEYMANDPOUR R,DAVIS J G.Linked data informativeness[C]//Web technologies and applications.Berlin:Springer,2013:629-637.
[19] 世界大学学术排名[EB/OL].[2015-11-04].http://rankings.betteredu.net/shanghairanking/ARWU/2015/ARWU.html.
[20] DBpedia[EB/OL].[2016-03-11].http://dbpedia.org/ontology/.

文章导航

/