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New Technology of Library and Information Service  2013, Vol. 29 Issue (11): 15-21    DOI: 10.11925/infotech.1003-3513.2013.11.03
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Research on Data Building for Knowledge Base Based on Scientific Research Ontology
Li Jianwei1, Song Wen1, Tang Yijie2, Liu Yi2, Wang Xinglan1
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. The Wuhan Branch of National Science Library, Chinese Academy of Sciences, Wuhan 430071, China
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Abstract  In order to specify and organize major resources in domestic and foreign research areas, the authors build the knowledge base based on scientific research Ontology. The purpose is to accomplish resources'collection, specification, organization, preservation and showing to support knowledge discovery. This paper develops the methods and related tools for data collection, data specification, and data integration, and then tests the effect by the practice of construction data, forming a certain scale of scientist network.At last, the perspectives of these methods are discussed about the sustainable building for knowledge base.
Key words： Knowledge base      Data specification      Duplication checking      Data integrating      Relation mapping     
Received: 19 July 2013      Published: 29 November 2013
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Li Jianwei
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Li Jianwei, Song Wen, Tang Yijie, Liu Yi, Wang Xinglan. Research on Data Building for Knowledge Base Based on Scientific Research Ontology. New Technology of Library and Information Service, 2013, 29(11): 15-21.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.11.03     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I11/15

[1] Khalifa M, Liu V. Semantic Network Representation of Computer-mediated Discussions: Conceptual Facilitation Form and Knowledge Acquisition[J]. Omega, 2008, 36(2): 252-266.
[2] 戴维民.语义网信息组织技术与方法[M].上海：学林出版社,2008.(Dai Weimin. Information Organization Techniques and Methods for Semantic Web[M].Shanghai: Academia Press,2008.)
[3] An Interdisciplinary Network [EB/OL].(2010-08-24).[2013-07-12]. http://vivoweb.org/.
[4] Vivo-core-public-1.5.owl [EB/OL].[2013-08-16]. http://vivoweb.org/ontology/core#.
[5] The Bibliographic Ontology [EB/OL].[2013-08-16].http://uri.gbv.de/ontology/bibo/.
[6] Friend of a Friend (FOAF) Vocabulary[EB/OL].[2013-08-16].http://uri.gbv.de/ontology/foaf/.
[7] 中科院专业领域知识环境[EB/OL].(2009-04-20).[2013-09-12].http://ske.las.ac.cn/.(Subject Knowledge Environment, Chinese Academic of Sciences[EB/OL].(2009-04-20).[2013-09-12].http://ske.las.ac.cn/.)
[8] Data Ingest and the Harvester [EB/OL].(2013-01-04).[2013-07-12]. https://wiki.duraspace.org/display/VIVO/Data+ingest+and+the+Harvester.
[9] 司莉.信息组织原理与方法[M].武汉:武汉大学出版社,2011.(Si Li. Principles and Methods of Information Organization[M].Wuhan: Wuhan University Press,2011.)
[10] 2012世界大学学术排名五百强[EB/OL].[2013-07-15].http://www.shanghairanking.cn/ARWU2012.html.(The 2012 Academic Ranking of World Top 500 Universities[EB/OL].[2013-07-15].http://www.shanghairanking.cn/ARWU2012.html.)
[11] The World University Rankings[EB/OL]. [2013-07-12]. http://www.timeshighereducation.co.uk/world-university-rankings/2012-13/world-ranking.
[12] U.S. News & World Report[EB/OL].[2013-08-16].http://www.usnews.com/.
[13] Centre for Higher Education[EB/OL].[2013-08-16]. http://www.che.de/cms/? getObject=302&getLang=en.
[14] 朱明,杨晓江.世界一流学科评价之大学排名指标分析[J]. 高教发展与评估,2012,28(2):7-15.(Zhu Ming, Yang Xiaojiang. Analysis of World-class Discipline Evaluation Indicators for World University Ranking[J].Higher Education Development and Evaluation, 2012,28(2):7-15.)
[15] National Science Foundation[EB/OL].[2013-08-16].http://www.nsf.gov/.
[16] Community Research and Development Information Service[EB/OL].[2013-08-16].http://cordis.europa.eu/home_en.html.
[17] 国家自然科学基金委员会[EB/OL].[2013-08-16].http://www.nsfc.gov.cn.(National Natural Science Foundation of China[EB/OL].[2013-08-16].http://www.nsfc.gov.cn.)
[18] 孙立伟,何国辉,吴礼发.网络爬虫技术的研究[J]. 电脑知识与技术,2010,6(15):4112-4115.(Sun Liwei, He Guohui, Wu Lifa.Research on the Web Crawler[J].Computer Knowledge and Techonology,2010,6(15):4112-4115.)
[19] Apache Jena[EB/OL].[2013-08-16]. http://vivoweb.org/ontology/core#.
[20] Joseki - A SPARQL Server for Jena[EB/OL].[2013-08-16].http://www.joseki.org/.
[21] Data Ingest Tool Guide[EB/OL]. (2010-10-15).[2013-07-12].http://cdnetworks-kr-2.dl.sourceforge.net/project/vivo/Data%20Ingest/Data_Ingest_Guide.pdf.
[22] STKOS科研本体知识库[EB/OL]. (2013-04-20).[2013-07-12].http://stkoskb.las.ac.cn/vivo/.( Knowledge Base Based on Scientific Research Ontology[EB/OL].(2013-04-20).[2013-07-12].http://stkoskb.las.ac.cn/vivo/.)
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