Please wait a minute...
New Technology of Library and Information Service  2012, Vol. 28 Issue (5): 81-86    DOI: 10.11925/infotech.1003-3513.2012.05.13
Current Issue | Archive | Adv Search |
Research and Implementation of Peer-review Experts Selection System
Li Zhenqing1, Liu Jianyi2, Wang Cong3, Wu Xu3,4
1. China Machinery Technical Development Foundation, Beijing 100823, China;
2. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
3. Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing 100876, China;
4. Beijing University of Posts and Telecommunications Library, Beijing 100876, China
Download: PDF(685 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  The paper designs and implements a peer-review expert selection system for technology projects. Based on experts' information and archives, the system uses statistics-based term extraction technology to solve the unknown words problem, and uses vector space retrieval to calculate the similarity between the project and peer-review experts.Finally,it selects the most appropriate peer-review experts according to the similarity.
Key wordsPeer-review      Expert selection      Term extraction     
Received: 16 February 2012      Published: 24 July 2012
: 

TP391

 

Cite this article:

Li Zhenqing, Liu Jianyi, Wang Cong, Wu Xu. Research and Implementation of Peer-review Experts Selection System. New Technology of Library and Information Service, 2012, 28(5): 81-86.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.05.13     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V28/I5/81

[1] 胡明铭,黄菊芳.同行评议研究综述[J]. 中国科学基金 ,2005,19(4):251-253. (Hu Mingming, Huang Jufang. A Review of Research on Peer Review [J]. Bulletin of National Science Foundation of China, 2005,19(4):251-253 .)

[2] 曲立,吕晓岚.国内外科技项目评价方法比较[J]. 企业经济 ,2005(9):36-38. (Qu Li, Lv Xiaolan. Comparison of Project Review in China and Abroad[J]. Enterprise Economy, 2005(9):36-38.)

[3] 刘景江, 郑刚, 许庆瑞.国外R&D项目测度与评价研究述评[J]. 科研管理 ,2001,22(6):9-14. (Liu Jingjiang, Zheng Gang, Xu Qingrui . R&D Project Measurement and Evaluation: A Literature Review [J]. Science Research Management, 2001,22(6):9-14.)

[4] 陆伟,赵浩镇.基于文档权重归并法的企业专家检索[J]. 现代图书情报技术 ,2008(7): 38-42. (Lu Wei, Zhao Haozhen. Enterprise Expert Search Based on Combing Document Weight [J]. New Technology of Library and Information Service, 2008 (7): 38-42.)

[5] 富羽鹏,张敏,马少平. 企业与内联网信息检索方法概述[J]. 广西师范大学学报:自然科学版 ,2007, 25(2):90-98. (Fu Yupeng, Zhang Min, Ma Shaoping. Review of IR Research in Enterprise and Intranet Search [J]. Journal of Guangxi Normal University: Natural Science Edition, 2007, 25(2):90-98.)

[6] Craswell N, Vries P A, Soboroff I. Overview of the TREC-2005 Enterprise Track [C].In: Proceedings of the 14th Text Retrieval Conference(TREC 2005). 2005.

[7] 王雪芬,王曰芬.专家库中的专家检索技术研究[J]. 情报理论与实践 , 2011,34(2):96-99. (Wang Xuefen, Wang Yuefen. Research on the Expert Retrieval Technology in Expert Database [J]. Information Studies: Theory & Application, 2011, 34(2):96-99.)

[8] 富羽鹏,张敏,马少平.通过邮件分析进行专家查找[C].见: ( 第四届全国信息检索与内容安全学术会议论文集 ,北京.2008. Fu Yupeng, Zhang Min,Ma Shaoping. Expert Finding Based on Email Analysis [C]. In: Proceedings of the 4th NCIRCS, Beijing.2008.)

[9] Zhang J,Ackerman M S, Adamic L. CommunityNetSimulator: Using Simulations to Study Online Community Networks[C]. In: Proceedings of the 3rd Communities and Technologies Conference, Michigan State University.Springer,2007:295-321.

[10] 张晨,周光中,朱卫东.基于两维语义证据推理的科学基金项目专家评议系统研究[J]. 中国软科学 ,2011(2):176-182. (Zhang Chen, Zhou Guangzhong, Zhu Weidong. Research on Peer Review System for the National Science Foundation Based on Two-dimensional Semantics Evidence Reasoning [J]. China Soft Science, 2011(2):176-182.)

[11] 贺颖,刘友存,刘慧,等. 基于科学知识图谱的交叉学科同行评议专家遴选方法研究[J]. 图书情报工作 , 2010,54(20): 28-31. (He Ying, Liu Youcun, Liu Hui, et al. Study on the Method of Peer-review Experts Selection in Cross-Disciplinary Based on Scientific Knowledge-Mapping [J]. Library and Information Service, 2010,54(20):28-31.)

[12] 刘一星,梁山.基于改进ATSVM 算法的评审专家自动推荐模型[J]. 重庆科技学院学报:自然科学版 , 2010,12(1):134-136. (Liu Yixing, Liang Shan. Automatic Recommended Model of Reviewer Based on the Algorithm of Improved ATSVM [J]. Journal of Chongqing University of Science and Technology: Natural Sciences Edition, 2010, 12(1):134-136.)

[13] Salton G, Buckley C. Term-weighting Approaches in Automatic Text Retrieval [J]. Information Processing & Management, 1988, 24(5):513-523.

[14] McCandless M, Hatcher E, Gospodnetic O. Lucene in Action[M].The 2nd Edition.Manning Publications, 2010.

[15] 贺敏,龚才春,张华平,等. 一种基于大规模语料的新词识别方法[J]. 计算机工程与应用 ,2007,43(21):157-159. (He Min, Gong Caichun, Zhang Huaping, et al. Method of New Word Identification Based on Larger-scale Corpus [J]. Computer Engineering and Applications, 2007, 43(21):157-159.)

[16] Zhang J, Gao J F, Zhou M. Extraction of Chinese Compound Words: An Experimental Study on a Very Large Corpus [C].In: Proceedings of the 2nd Workshop on Chinese Language Processing(CLPW'00).2000.

[17] Satty T L. The Analytic Hierarchy Process [M]. New York: Mcgraw-Hill, 1980.

[18] 陈媛,樊治平,谢美萍. 科研项目同行评议专家水平的评价研究[J]. 科学学与科学技术管理 ,2009(10):38-41.(Chen Yuan, Fan Zhiping, Xie Meiping. Study on Evaluating the Level of Peer Reviewers [J]. Science of Science and Management of S.& T., 2009(10):38-41.)
[1] He Yu, Lv Xueqiang, Xu Liping. A Chinese Term Extraction System in New Energy Vehicles Domain[J]. 现代图书情报技术, 2015, 31(10): 88-94.
[2] Tang Shouli, Xu Baoxiang. Research on Ontology-based Cloud Services Semantic Retrieval System[J]. 现代图书情报技术, 2014, 30(12): 27-35.
[3] Tang Qing,Lv Xueqiang,Li Zhuo,Shi Shuicai,. Research on Domain Ontology Term Extraction[J]. 现代图书情报技术, 2014, 30(1): 43-50.
[4] Xiong Liyan, Tan Long, Zhong Maosheng. An Automatic Term Extraction System of Improved C-value Based on Effective Word Frequency[J]. 现代图书情报技术, 2013, 29(9): 54-59.
[5] Hu Apei, Zhang Jing, Liu Junli. Chinese Term Extraction Based on Improved C-value Method[J]. 现代图书情报技术, 2013, 29(2): 24-29.
[6] Wang Hao . Named Entity Extraction Model Based on Hierarchical Pattern Matching[J]. 现代图书情报技术, 2007, 2(5): 62-68.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn