Building Standard Literature Knowledge Service System
Ding Heng1,2,Lu Wei2()
1Collaborative Innovation Center for Territorial Sovereignty and Maritime Rights, Wuhan 430072, China 2School of Information Management, Wuhan University, Wuhan 430072, China
[Objective] This sutdy builds a knowledge-oriented standard literature service system, which could generate more knowledge for the users. [Context] The proposed system is able to extract semantic knowledge unit from the standard literature, to organize information based on the knowledge relationship, and to provide standard knowledge service to users. [Methods] We used the technology of optical character recognition, natural language processing, information visualization to finish the tasks of semantic organization, knowledge extraction, Ontology construction, knowledge map and Ontology-based retrieval of standard literature. [Results] The users enjoyed knowledge-oriented standard literature information service, including standard knowledge map and Ontology-based retrieval. [Conclusions] The proposed system improves user experience and meet their knowledge demands.
丁恒,陆伟. 标准文献知识服务系统设计与实现*[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System. New Technology of Library and Information Service, 2016, 32(7-8): 120-128.
(Li Zhifeng, Zhang Liyi.Research of Books Retrieval System Under Thinking of Hybrid System[J]. New Technology of Library and Information Service, 2012(7-8): 54-58.)
(Ma Feicheng, Gao Jing.Research on Web2.0 Information Half Life Measurement and Its Impact Factors —— Taking Social Bookmark Website as an Example[J]. Journal of Information Studies: Theory and Application, 2010, 33(11): 1-6.)
[4]
马费成. 情报学发展的历史回顾及前沿课题[J]. 图书情报知识, 2013(2): 4-12.
[4]
(Ma Feicheng.Historical Review of the Development of Information Science with Proposing Frontier Topics[J]. Document,Informaiton & Knowledge, 2013(2): 4-12.)
(Zheng Yanning, Hua Bolin.Discussion on Transforming Relationship of Data, Information, Knowledge and Intelligence[J]. Journal of Information Studies: Theory and Application, 2011, 34(7): 1-4.)
(Liu Jia, Zhong Yongheng.Comparison and Enlightenment of the Retrieval Systems of International Standard Document[J]. Researches in Library Science, 2011(20): 60-64.)
(Deng Yaowu.The Retrieval and Applications of Scientific and Technical Report, Patent Document and Standard Literature Resources[J]. Library Work and Study, 2008(7): 71-74.)
(Li Weihua, Wang Tong, Gu Ying.The Retrieval and Applications of Scientific and Technical Report, Patent Document and Standard Literature Resources[J]. Information Research, 2010(12): 74-77.)
[10]
袁锁鸿. 应当重视国外标准情报资料的利用[J]. 图书情报知识, 1984(4): 42-43.
[10]
(Yuan Suohong.Attach Importance to the Use of Foreign Standard Information[J]. Document, Informaiton and Knowledge, 1984(4): 42-43.)
[11]
袁锁鸿. 重视对国外产品标准样本资料的利用[J]. 图书馆杂志, 1985(4): 44-45.
[11]
(Yuan Suohong.Pay Attention to the Use of Foreign Product Standard Sample Data[J]. Library Journal, 1985(4): 44-45.)
[12]
楼青. 标准文献的管理与服务[J]. 图书馆杂志, 1991(6): 26-27.
[12]
(Lou Qing.Management and Service of Standard Literature[J]. Library Journal, 1991(6): 26-27.)
[13]
楼青. 优化标准文献的服务[J]. 图书情报知识, 1996(1): 58-59.
[13]
(Lou Qing.Optimizing the Service of Standard Literature[J]. Document,Informaiton & Knowledge, 1996(1): 58-59.)
[14]
孙秉秀. 标准文献利用的新问题[J]. 图书馆工作与研究, 1994(2): 49-50.
[14]
(Sun Bingxiu.New Problems in the Use of Standard Literature[J]. Library Work and Study, 1994(2): 49-50.)
[15]
夏巨岚, 翟煜男. 浅谈标准文献检索[J]. 图书馆建设, 2002(3): 99-100.
[15]
(Xia Julan, Zhai Yu’nan.Standard Literature Retrieval[J]. Library Development, 2002(3): 99-100.)
[16]
Berners-Lee T, Hendler J.Publishing on the Semantic Web [J]. Nature, 2001, 410(6832): 1023-1024.
[17]
Alani H, Kim S, Millard D E, et al.Automatic Ontology- based Knowledge Extraction from Web Documents[J]. IEEE Intelligent Systems, 2003, 18(1): 14-21.
[18]
Ghoula N, Khelif K, Dieng-Kuntz R.Supporting Patent Mining by Using Ontology-based Semantic Annotations[C]. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence. IEEE Computer Society, 2007: 435-438.
[19]
Muller H-M, Kenny E E, Sternberg P W.Textpresso: An Ontology-based Information Retrieval and Extraction System for Biological Literature[J]. PLoS Biology, 2004, 2(11): e309.
[20]
王晓光, 陈孝禹. 语义出版的概念与形式[J]. 出版发行研究, 2011(11): 54-58.
[20]
(Wang Xiaoguang, Chen Xiaoyu.Concepts and Forms of Semantic Publishing [J]. Publishing Research, 2011(11): 54-58.)
[21]
Iorio A D, Lange C, Dimou A, et al.Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking [M]. New York: Springer International Publishing, 2015: 65-80.
(Dong Jing, Sun Le, Feng Yuanyong, et al.Chinese Automatic Entity Relation Extraction[J]. Journal of Chinese Information Processing, 2007, 21(4): 80-85, 91.)