Abstract：Using the real data of BibSonomy.org for the study, this paper collects two echelon of the related tags through the “Related Tag” column of website. The formal concept analysis approach is employed to build concept lattice of related tags, and the clustering analysis and mining of association rules are executed based on concept lattice about related tags, then the implicit relationship between the concepts and potential semantic relevance of related tags are revealed. The structural features implicit in the emerging methods of navigation in the related tags are analyzed, and “Semantic Synonym” and “Semantic Hyponym” are proposed, which improve the tag navigation system of folksonomy knowledge organization mode.
滕广青, 毕强, 高娅. 基于概念格的Folksonomy知识组织研究——关联标签的结构特征分析[J]. 现代图书情报技术, 2012, 28(6): 22-28.
Teng Guangqing, Bi Qiang, Gao Ya. A Study on Knowledge Organization of Folksonomy Based on Concept Lattice: Analysis on Structural Characteristics of Related Tags. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.06.04.
[1] Wal T V. Folksonomy Coinage and Definition[EB/OL]. [2012-01-11]. http://www.vanderwal.net/folksonomy.html.[2] Schmitz C, Hotho A, Jschke R, et al. Mining Association Rules in Folksonomies[A]. // Batagelj V, Bock H, Ferligoj A, et al. Data Science and Classification[M]. Berlin: Springer-Verlag, 2006:261-270.[3] Cattuto C, Benz D, Hotho A, et al. Semantic Grounding of Tag Relatedness in Social Bookmarking Systems[C]. In: Proceedings of the 7th International Conference on the Semantic Web. 2008:615-631.[4] Zhitomirsky-Geffet M, Bar-Ilan J, Miller Y, et al. A Generic Framework for Collaborative Multi-Perspective Ontology Acquisition[J]. Online Information Review, 2010, 34(1):145-159.[5] Li P, Wang B, Jin W, et al. User-Related Tag Expansion for Web Document Clustering[C].In: Proceedings of the 33rd European Conference on Advances in Information Retrieval. 2011:19-31.[6] 王翠英. 标签的聚类分析研究[J]. 现代图书情报技术, 2008(5):67-71. (Wang Cuiying. Study on Tag Clustering Analysis[J]. New Technology of Library and Information Service, 2008(5):67-71.)[7] Kim H L, Scerri S, Breslin J G, 等. 最新标签本体:标签和民俗分类法语义模型[J]. 丁鹏宇译. 现代图书情报技术 , 2009(3):30-37. (Kim H L, Scerri S, Breslin J G, et al. The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies[J]. Translated by Ding Pengyu. New Technology of Library and Information Service, 2009(3):30-37.)[8] 甘特尔 B, 威尔 R. 形式概念分析[M]. 马垣, 张学东, 迟呈英, 等译. 北京:科学出版社, 2007:15-17. (Ganter B, Wille R. Formal Concept Analysis[M]. Translated by Ma Yuan, Zhang Xuedong, Chi Chengying, et al. Beijing:Science Press, 2007:15-17.)[9] 滕广青, 毕强, 陈晓美. 基于概念格的Folksonomy知识组织研究——Tag Cloud的层级体系构建[J]. 情报学报 , 2012, 31(2):136-142. (Teng Guangqing,Bi Qiang, Chen Xiaomei. A Study on Knowledge Organization of Folksonomy Based on Concept Lattice: Construction of Hierarchy in Tag Cloud[J]. Journal of the China Society for Scientific and Technical Information, 2012, 31(2):136-142.)[10] 滕广青, 毕强. 知识组织体系的演进路径及相关研究的发展趋势探析[J]. 中国图书馆学报 , 2010, 36(5):49-53. (Teng Guangqing,Bi Qiang. Analysis on Evolutionary Path and Research Trends of Knowledge Organization System[J]. Journal of Library Science in China, 2010, 36(5):49-53.)[11] 滕广青. 电子商务网站Folksonomy用户Tag的语义认知分析[J]. 情报科学 , 2011, 29(12):1871-1875, 1881. (Teng Guangqing. Analysis on Semantic Cognition of User’s Tag in Electronic Commerce Folksonomy [J]. Information Science, 2011, 29(12):1871-1875, 1881.)[12] Taylor Arlene G. 信息组织 [M]. 2版.张素芳, 李书宁, 李金波译. 北京: 机械工业出版社, 2006:184-190. (Taylor Arlence G. The Organization of Information [M]. 2nd Edition. Translated by Zhang Sufang, Li Shuning, Li Jinbo. Beijing: China Machine Press, 2006:184-190.)[13] 滕广青, 毕强. 基于概念格的数字图书馆用户用法细分——数字图书馆用户使用方法的关联规则挖掘[J]. 现代图书情报技术 , 2010(3):8-12. (Teng Guangqing,Bi Qiang. Usage-based Market Segmentation of Digital Library Users Based on Concept Lattice——Association Rule Mining of Digital Library Users’ Usage[J]. New Technology of Library and Information Service, 2010(3):8-12.)[14] 陈洁, 司莉. 社会分类法(Folksonomy)特点及其应用研究[J]. 图书与情报 , 2008(3):27-30. (Chen Jie, Si Li. Research on Characteristics and Applications of Folksonomy[J]. Library and Information, 2008(3):27-30.)
