学者知识库建设探究——以深圳学者知识库为例
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摘要
学者知识库正受到国内外越来越多图书馆的关注,深圳大学城图书馆与利益相关方合作建设的深圳学者知识库,采用自动采集和人工提交相结合的数据采集模式,通过信息抽取算法从网页抽取学者个人信息构造学者本体,采用智能算法实现学者姓名消歧。深圳学者知识库旨在展示深圳学者及机构的学术成果,提升学者及机构的学术影响力。学者知识库的建设要注意以下因素:沟通和合作至关重要,领导支持事半功倍,学者参与是成功关键,要有务实的态度、渐进式发展的理念,数据质量是发展前提,宣传推广是成功的保证。
The scholar repository has attracted more and more attention from libraries at home and abroad. University Town Library of Shenzhen cooperates with stakeholders to build Shenzhen scholar repository. The data collection mode combining with automatic acquisition and manual submission is adopted. The information extraction algorithm is used to extract the scholar's personal information from the webpage and constructs the scholar ontology. The intelligent algorithm is used to realize the scholar's name disambiguation. Shenzhen scholar repository aims to demonstrate the academic achievements, and enhance the academic influence of scholars and institutions in Shenzhen. Following elements should be concerned in the construction of scholar repository: communication and cooperation, leaders' support, and scholars' participation, practical attitude, progressive development, data quality and promotion.
The scholar repository has attracted more and more attention from libraries at home and abroad. University Town Library of Shenzhen cooperates with stakeholders to build Shenzhen scholar repository. The data collection mode combining with automatic acquisition and manual submission is adopted. The information extraction algorithm is used to extract the scholar's personal information from the webpage and constructs the scholar ontology. The intelligent algorithm is used to realize the scholar's name disambiguation. Shenzhen scholar repository aims to demonstrate the academic achievements, and enhance the academic influence of scholars and institutions in Shenzhen. Following elements should be concerned in the construction of scholar repository: communication and cooperation, leaders' support, and scholars' participation, practical attitude, progressive development, data quality and promotion.
引文
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[2]Givens M,Mackli L A,Mangiafico P.Faculty Profile Systems:New Services and Roles for Libraries[EB/OL].[2017-12-14].https://preprint.press.jhu.edu/portal/sites/ajm/files/17.2macklin.pdf.
[3]陈凌.从图书馆联盟到共享域--图书馆与CALIS发展思考[EB/OL].[2017-12-24].http://library.bjmu.edu.cn/calismeet13/64am/1-从图书馆联盟到共享域-陈凌.pptx.
[4]Brand A.US Universities Need to Invest More in Coordinated Management of Research Information[EB/OL].[2018-02-20].https://www.digital-science.com/blog/perspectives/us-universities-need-to-invest-more-in-coordinatedmanagement-of-research-information/.
[5]Bryant R,Clements A,Feltes C,et al.Research Information Management:Defining RIM and the Library's Role[EB/OL].[2018-03-16].https://www.oclc.org/content/dam/research/publications/2017/oclcresearch-defining-rim-2017-a4.pdf.
[6]Tate D.Implementing a CRIS with PURE[EB/OL].[2017-12-28].https://www.slideshare.net/ULCCEvents/implementing-acris-with-pure/11.
[7]Jie Tang,Jing Zhang,Duo Zhang,et al.ArnetMiner:An Expertise Oriented Search System for Web Community[EB/OL].[2018-03-25].http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-295/paper01.pdf.
[8]唐杰,张静,张宇韬.AMiner背后的技术细节与挑战[EB/OL].[2018-03-28].https://www.csdn.net/article/1970-01-01/2824931.
[9]窦天芳,张成昱,张蓓,等.ResearcherID现状分析及应用启发[J].图书情报工作,2014,58(4):40-45.
[10]Jie Tang,Jing Zhang,Limin Yao,et al.Extraction and Mining of an Academic Social Network[EB/OL].[2018-04-03].http://wwwconference.org/www2008/papers/pdf/p1193-tang.pdf。
[11]Kannan P,Sanjay K.VIVO:Faculty Research Information System and Discovery[EB/OL].[2017-12-26].http://ir.inflibnet.ac.in:8080/ir/bitstream/1944/2114/1/26.pdf。
[12]Mangiafico P.Research Information Management at Duke University:A Researcher-centered Approach[EB/OL].[2018-01-13].https://www.oclc.org/content/dam/research/events/2017/mangiafico-rim-duke-wip-2017.pdf.
[13]Rybinski H,Skonieczny L,et al.Integrating IR with CRIS--A Novel Researcher--Centric Approach[J].Program,2017,51(3):298-321.