Please wait a minute...
New Technology of Library and Information Service  2013, Vol. 29 Issue (11): 15-21    DOI: 10.11925/infotech.1003-3513.2013.11.03
Current Issue | Archive | Adv Search |
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
Download: PDF(604 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
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 wordsKnowledge base      Data specification      Duplication checking      Data integrating      Relation mapping     
Received: 19 July 2013      Published: 29 November 2013
:  G250  

Cite this article:

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.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.11.03     OR     http://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/.)
[1] Ruihua Qi,Junyi Zhou,Xu Guo,Caihong Liu. Extracting Book Review Topics with Knowledge Base[J]. 数据分析与知识发现, 2019, 3(6): 83-91.
[2] Guo Chen,Lu Xiao. Linking Knowledge Elements from Online Community[J]. 数据分析与知识发现, 2017, 1(11): 75-83.
[3] Zhou Pengcheng,Wu Chuan,Lu Wei. Entity Linking Method for Short Texts with Multi-Knowledge Bases: Case Study of Wikipedia and Freebase[J]. 现代图书情报技术, 2016, 32(6): 1-11.
[4] Dongsheng Zhai, He Liu, Jie Zhang, Liwei Cai. Managing Patent Semantic Knowledge with Graph Database[J]. 数据分析与知识发现, 2016, 32(12): 66-75.
[5] Jiang Xun, Xu Xukan, Su Xinning. Knowledge Service-oriented Model of Knowledge Base Frame Structure Research Based on Double-base Cooperating[J]. 现代图书情报技术, 2014, 30(2): 55-62.
[6] Xu Xin, Hong Yunjia. Study on Text Visualization of Clustering Result for Domain Knowledge Base —— Take Knowledge Base of Chinese Cuisine Culture as the Object[J]. 现代图书情报技术, 2014, 30(10): 25-32.
[7] Wang Dongbo, Zhu Danhao. Research of Mining the Word Category Knowledge for Chinese Syntactic Function Distribution Knowledge Base[J]. 现代图书情报技术, 2013, 29(3): 33-37.
[8] Xu Xin, Guo Jinlong. Construction of Subject Knowledge Base——Taking the Domain of Chinese Cuisine Culture as an Example[J]. 现代图书情报技术, 2013, (12): 2-9.
[9] Guo Jinlong, Hong Yunjia, Xu Xin. Construction and Application of Ontology in the Domain of Chinese Cuisine Culture[J]. 现代图书情报技术, 2013, (12): 10-18.
[10] Hong Yunjia, Xu Xin. Study on Multi-level Text Clustering for Knowledge Base Based on Domain Ontology——Taking Knowledge Base of Chinese Cuisine Culture as an Example[J]. 现代图书情报技术, 2013, (12): 19-26.
[11] Zhang Pengyi, Qu Yan, Huang Chen. Design and Application of the S&T Innovation Group and Environment Ontology[J]. 现代图书情报技术, 2013, (12): 42-47.
[12] Hong Yunjia, Xu Xin. Knowledge Base of Collaborative Virtual Reference Systems:State of the Art and Future Trends[J]. 现代图书情报技术, 2012, (9): 2-9.
[13] Tong Zhaojuan, Xu Xin, Chen Chao. Research on Answer Format Regulation in Knowledge Base of Collaborative Virtual Reference System of Shanghai Library[J]. 现代图书情报技术, 2012, (9): 10-14.
[14] Yao Zhanlei, Guo Jinlong, Xu Xin. QA System Design and Implementation in Collaborative Virtual Reference Service[J]. 现代图书情报技术, 2012, (9): 15-22.
[15] Yang Rui, Tang Yijie, Liu Yi, Li Wei. Comprehensive Evaluation of the Ontology Building System in the Web Environment[J]. 现代图书情报技术, 2012, 28(1): 13-18.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn