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New Technology of Library and Information Service  2014, Vol. 30 Issue (11): 24-30    DOI: 10.11925/infotech.1003-3513.2014.11.04
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Information Organization and Representation Based on Folksonomy and RDF
Yu Bengong1,2, Gu Jiawei1
1 School of Management, Hefei University of Technology, Hefei 230009, China;
2 Key Laboratory of Process Optimization and Intelligent Decision Making of Ministry of Education, Hefei University of Technology, Hefei 230009, China
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[Objective] Improve the degree of users' participation, realize the efficient management of mass data and quick query of information, and consummate information organization and representation of enterprises' websites. [Context] Problems of a mass of confused information and too many false products in online trading make users more dependent on enterprises' websites for quality assurance, as a result, there is a new requirement for the information organization and representation of enterprises' websites. [Methods] This paper proposes a method which uses RDF to express resources, tags and users of Folksonomy and allows users to assign tags freely by achieving the storage and query of RDF data. And apply it to enterprises' websites. [Results] Realize the storage and query of resource, tags and users, enabling users to tag freely, and achieve the relevant inquiries. [Conclusions] The method strengthens the communications between enterprises and users, provides a means for completely opening and sharing of information between users and widens the application range of Folksonomy.

Key wordsFolksonomy      RDF      Information organization      Information representation     
Received: 13 June 2014      Published: 18 December 2014
PACS:  TP391  

Cite this article:

Yu Bengong, Gu Jiawei. Information Organization and Representation Based on Folksonomy and RDF. New Technology of Library and Information Service, 2014, 30(11): 24-30.

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[1] Shiri A. An Examination of Social Tagging Interface Features and Functionalities: An Analytical Comparison[J]. Online Information Review, 2009, 33(5): 901-919.
[2] Ohmukai I, Hamasaki M, Takeda H. A Proposal of Community-based Folksonomy with RDF Metadata [OL]. [2013-09-21]. 20Proposal%20of%20Community-based%20Folksonomy.pdf.
[3] 熊回香, 王学东. 大众分类体系中标签与本体的映射研究[J]. 情报科学, 2014, 32(3): 121-126. (Xiong Huixiang, Wang Xuedong. Research on Mapping between Tag and Ontology in Folksonomy System [J]. Information Science, 2014, 32(3): 121-126.)
[4] 滕广青, 毕达天, 任晶, 等. Folksonomy 中用户标签的语义紧密性研究[J]. 现代图书情报技术, 2013(12): 48-54. (Teng Guangqing, Bi Datian, Ren Jing, et al. Study on Semantic Closeness of User Tags in Folksonomy [J]. New Technology of Library and Information Service, 2013(12): 48-54.)
[5] Al-Khalifa H S, Davis H C. FolksAnnotation: A Semantic Metadata Tool for Annotating Learning Resources Using Folksonomies and Domain Ontologies [C]. In: Proceedings of the 2nd International IEEE Conference on Innovations in Information Technology, Dubai. IEEE, 2006: 1-5.
[6] 张云中. Folksonomy中的语义关系呈现: Folksonomy局部本体[J]. 图书情报工作, 2012, 56(20): 127-131, 143. (Zhang Yunzhong. Semantic Relations Presented in Folksonomy: Folksonomy Local Ontology [J]. Library and Information Service, 2012, 56(20): 127-131, 143.)
[7] 陆建江, 张亚非, 苗壮, 等. 语义网原理与技术[M]. 北京: 科学出版社, 2007: 30-65. (Lu Jianjiang, Zhang Yafei, Miao Zhuang, et al. Semantic Web Principles and Techniques [M]. Beijing: Science Press, 2007: 30-65.)
[8] 石豪, 李红娟, 赖雯, 等. 基于Folksonomy标签的用户分类研究[J]. 图书情报工作, 2011, 55(2): 117-120. (Shi Hao, Li Hongjuan, Lai Wen, et al. Study of Users Classification Based on Folksonomy Tags [J]. Library and Information Service, 2011, 55(2): 117-120.)
[9] 李爱国. 三种学术标签系统的比较分析[J]. 图书情报工作, 2007, 51(2): 114-116. (Li Aiguo. A Comparative Analysis of Three Academic Tag System [J]. Library and Information Service, 2007, 51(2): 114-116.)
[10] Marlow C, Naaman M, Boyd D, et al. HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, to Read [C]. In: Proceedings of the 17th Conference on Hypertext and Hypermedia. New York: ACM, 2006: 31-40.
[11] Klyne G, Carroll J J. Resource Description Framework (RDF): Concepts and Abstract Syntax [EB/OL]. [2013-11-01]. http://
[12] Lassila O, Swick R R. Resource Description Framework (RDF) Model and Syntax Specification [EB/OL]. [2013-10- 05].
[13] Hitzler P, Krotszsch M, Rudolph S, 等.语义Web技术基础[M]. 俞勇等译. 北京: 清华大学出版社, 2012: 12-73. (Hitzler P, Krotszsch M, Rudolph S, et al. Foundations of Semantic Web Technologies [M]. Translated by Yu Yong, et al. Bejing: Tsinghua University Press, 2012: 12-73.)
[14] 师雪霖, 赵英. 基于RDF的语义网格数据建模与检索[J]. 计算机应用, 2009, 28(9): 2324-2327. (Shi Xuelin, Zhao Ying. Data Modeling and Retrieval in Semantic Grid Based on RDF [J]. Computer Applications, 2009, 28(9): 2324-2327.)
[15] 金海, 袁平鹏.语义网数据管理技术及应用[M].北京: 科学出版社, 2010: 162-193. (Jin Hai, Yuan Pingpeng. Semantic Web Data Management Technologies and Applications [M]. Beijing: Science Press, 2010: 162-193.)
[16] 滕广青. 基于概念格的数字图书馆知识组织研究[D]. 长春: 吉林大学, 2012. (Teng Guangqing. Research on Knowledge Organization Based on Concept Lattice of Digital Library [D]. Changchun: Jilin University, 2012.)
[17] 姜龙翔, 王鑫, 李旭, 等. 一种大规模RDF语义数据的分布式存储方案[J]. 计算机应用与软件, 2011, 28(11): 30-32. (Jiang Longxiang, Wang Xin, Li Xu, et al. A Distributed Storage Scheme for Large-scale RDF Semantic Data[J]. Computer Applications and Software, 2011, 28(11): 30-32.)
[18] Prud'hommeaux E, Seaborne A.SPARQL Query Language for RDF[OL]. [2013-11-24]. /#termConstraint.
[19] 王鑫, 冯志勇, 杜朴风, 等. Jingwei: 一种分布式大规模RDF数据服务器[J]. 计算机研究与发展, 2011, 48(S): 451-455. (Wang Xin, Feng Zhiyong, Du Pufeng, et al. Jingwei: A Distributed Large-scale RDF Data Server [J]. Journal of Computer Research and Development, 2011, 48(S): 451-455.)

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