

浏览全部资源
扫码关注微信
Online First:2019-09,
Published:15 September 2019
移动端阅览
Ruili LUO, Yuanzhuo WANG. Active scientific research management model and optimization decision mechanism based on big data[J]. Big Data Research, 2019, 5(5): 2019038-1.
Ruili LUO, Yuanzhuo WANG. Active scientific research management model and optimization decision mechanism based on big data[J]. Big Data Research, 2019, 5(5): 2019038-1. DOI: 10.11959/j.issn.2096-0271.2019038.
在科研管理过程中,从科研人员、项目、成果产出等多维度可获取大量数据。科研管理大数据背后蕴含着丰富的、复杂关联的知识。科研管理大数据中信息与知识的有效、丰富,依赖于科研管理知识图谱的建立。采用开放知识网络模型方法,以构建“专家图谱”为例,融合分析了科研管理大数据中的关联知识和潜在信息,并探讨基于这些技术手段,如何将传统被动的管理模式转变为主动的科研管理模式,进而建立基于大数据的新型管理模式与决策机制。
During the scientific research management
a large number of data could be accessed from researchers
projects
output and other multi-dimensional.The big data of scientific research management implicitly contains tremendous highlyinterconnected knowledge.The effective obtaining of rich knowledge from big data
depends on the building of the largescale knowledge graph.An expert graph was built up using open knowledge network
and the associated knowledge and potential information were analyzed.Based on these analysis results
how to change the traditional passive management model into active scientific research management mode was discussed
and then a new management model and decisionmaking mechanism based on big data was established.
李国杰 , 程学旗 . 大数据研究:未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考 [J ] . 中国科学院院刊 , 2012 , 27 ( 6 ): 647 - 657 .
LI G J , CHENG X Q . Research status and scientific thinking of big data [J ] . Bulletin of the Chinese Academy of Sciences , 2012 , 27 ( 6 ): 647 - 657 .
王元卓 , 靳小龙 , 程学旗 . 网络大数据:现状与展望 [J ] . 计算机学报 , 2013 , 36 ( 6 ): 1125 - 1138 .
WANG Y Z , JIN X L , CHENG X Q . Network big data:present and future [J ] . Chinese Journal of Computers , 2013 , 36 ( 6 ): 1125 - 1138 .
王元卓 , 贾岩涛 , 刘大伟 , 等 . 基于开放网络知识的信息检索与数据挖掘 [J ] . 计算机研究与发展 , 2015 , 52 ( 2 ): 456 - 474 .
WANG Y Z , JIA Y T , LIU D W , et al . Open web knowledge aided information search and data mining [J ] . Journal of Computer Research and Development , 2015 , 52 ( 2 ): 456 - 474 .
ETZIONI O , CAFARELLA M , DOWNEY D , et al . Web-scale information extraction in knowitall:(preliminary results) [C ] // The 13th International Conference on World Wide Web,May 17-20,2004,New York,USA . New York:ACM Press , 2004 : 100 - 110 .
BANKO M , CAFARELLA M J , SODERLAND S , et al . Open information extraction from the web [C ] // The 20th International Joint Conference on Artifical Intelligence,January 6-12,2007,Hyderabad,India . New York:ACM Press , 2007 : 2670 - 2676 .
CARLSON A , BETTERIDGE J , KISIEL B , et al . Toward an architecture for neverending language learning [C ] // The 24th AAAI Conference on Artifical Intelligence,July 11-15,2010,Atlanta,Georgia . Menlo Park:AAAI Press , 2010 : 1306 - 1313 .
WU W , LI H , WANG H , et al . Probase:a probabilistic taxonomy for text understanding [C ] // The 2012 ACM SIGMOD International Conference on Management of Data,May 20-24,2012,Scottsdale,USA . New York:ACM Press , 2012 : 481 - 492 .
NAKASHOLE N , THEOBALD M , WEIKUM G . Scalable knowledge harvesting with high precision and high recall [C ] // The 4th ACM International Conference on Web Search and Data Mining,February 9-12,2011,Hong Kong,China . New York:ACM Press , 2011 : 227 - 236 .
SUCHANEK F M , SOZIO M , WEIKUM G . SOFIE:a self-organizing framework for information extraction [C ] // The 18th International Conference on World Wide Web,April 20-24,2009,Madrid,Spain . New York:ACM Press , 2009 : 631 - 640 .
AUER S , BIZER C , KOBILAROV G , et al . DBpedia:a nucleus for a web of open data [C ] // The 6th International The Semantic Web and 2nd Asian Conference on Asian Semantic Web Conference,November 11-15,2007,Busan,Korea . Piscataway:IEEE Press , 2007 : 722 - 735 .
SUCHANEK F , KASNECI G , WEIKUM G . YAGO:a core of semantic knowledge [C ] // The 16th International Conference on World Wide Web,May 8-12,2007,Banff,Canada . New York:ACM Press , 2007 : 697 - 706 .
PONZETTO S , NAVIGLI R . Large-scale taxonomy mapping for restructuring and integrating Wikipedia [C ] // The 21st International Joint Conference on Artifical Intelligence,July 11-17,2009,Pasadena,USA . San Francisco:Morgan Kaufmann , 2009 : 2083 - 2088 .
PONZETTO S , STRUBE M . Taxonomy induction based on a collaboratively built knowledge repository [J ] . Artificial Intelligence , 2011 , 175 ( 9-10 ): 1737 - 1756 .
林海伦 , 王元卓 , 贾岩涛 , 等 . 面向网络大数据的知识融合方法综述 [J ] . 计算机学报 , 2017 , 40 ( 1 ): 1 - 27 .
LIN H L , WANG Y Z , JIA Y T , et al . Network big data oriented knowledge fusion methods:a survey [J ] . Chinese Journal of Computers , 2017 , 40 ( 1 ): 1 - 27 .
孟小峰 , 慈祥 . 大数据管理:概念、技术与挑战 [J ] . 计算机研究与发展 , 2013 ( 1 ): 146 - 169 .
MENG X F , CI X . Big data management:concepts,techniques and challenges [J ] . Journal of Computer Research and Development , 2013 ( 1 ): 146 - 169 .
梁家峰 , 亓振华 . 适应与创新:大数据时代的高校思想政治教育工作 [J ] . 思想教育研究 , 2013 ( 6 ): 63 - 67 .
LIANG J F , QI Z H . Adaptation and innovation:ideological and political education in colleges and universities in the age of big data [J ] . Studies in Ideological Education , 2013 ( 6 ): 63 - 67 .
董振东 , 董强 , 郝长伶 . 知网的理论发现 [J ] . 中文信息学报 , 2007 , 21 ( 4 ): 3 - 9 .
DONG Z D , DONG Q , HAO C L . Theoretical findings of HowNet [J ] . Journal of Chinese Information Processing , 2007 , 21 ( 4 ): 3 - 9 .
梅立军 , 周强 , 臧路 , 等 . 知网与同义词词林的信息融合研究 [J ] . 中文信息学报 , 2005 , 19 ( 1 ): 63 - 70 .
MEI L J , ZHOU Q , ZANG L , et al . Merge information in HowNet and TongYiCi CiLin [J ] . Journal of Chinese Information Processing , 2005 , 19 ( 1 ): 63 - 70 .
黄曾阳 . HNC理论概要 [J ] . 中文信息学报 , 1997 , 11 ( 4 ): 11 - 20 .
HUANG Z Y . Summary of HNC theory [J ] . Journal of Chinese Information Processing , 1997 , 11 ( 4 ): 11 - 20 .
LENAT D , GUHA R . Building large knowledge-based systems:representation and inference in the Cyc project [M ] . Boston : Addison-WesleyPress , 1989 .
0
Views
779
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621