Library and Information Service >
Analysis on Knowledge Communities and Core Knowledge in Folksonomy
Received date: 2015-09-09
Revised date: 2015-11-01
Online published: 2015-11-20
[Purpose/significance] The community knowledge tagging status of user tags are discrete and chaos in the folksonomy knowledge organization mode. Therefore, building and analyzing knowledge communities can reveal the potential association between knowledge and core knowledge. [Method/process] The knowledge communities were built and analyzed in the community knowledge network with complex network theories and methods, and the structure of knowledge communities and accompanying association of core knowledge were analyzed. [Result/conclusion] The nested hierarchical structure of knowledge communities is extracted and analyzed in the folksonomy mode fromthe knowledge network perspective. The core knowledge and accompanying attributes of knowledge are revealed in knowledge communities.
Key words： folksonomy; user tags; knowledge network; knowledge community
Teng Guangqing, Yang Mingqiu, Tian Yilin, Huang Wei . Analysis on Knowledge Communities and Core Knowledge in Folksonomy[J]. Library and Information Service, 2015 , 59(22) : 124 -129 . DOI: 10.13266/j.issn.0252-3116.2015.22.019
[1] Peters I, Stock G W. Folksonomy and information retreval[J]. Proceedings of the American Society for Information Science and Technology, 2007, 44(1):1-28.
[2] Tonkin E. Searching the long tail hidden structure in social tagging[C]//17th Annual ASIS&T SIG/CR Classification Research Workshop. Tucson:UA Campus Repository, 2006:1-10.
[3] Heymann P, Garcia-Molina H. Collaborative creation of communal hierarchical taxonomies in social tagging systems[EB/OL]. [2014-07-03]. http://ilpubs.stanford.edu:8090/775/1/2006-10.pdf.
[4] Shepitsen A, Gemmell J, Mobasher B, et al. Personalized recommendation in social tagging systems[C]//Proceedings of the 2008 ACM Conference on Recommender Systems. New York:ACM,2008: 259-266.
[5] Cattuto C. Emergent community structure in social tagging systems[J]. Advances in Complex Systems, 2008, 11(4):597-608.
[6] 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.
[7] 熊回香, 廖作芳. 本体在Folksonomy中的应用研究[J]. 情报科学, 2010, 28(2):274-278.
[8] 贾君枝. 分众分类法与受控词表的结合研究进展[J]. 中国图书馆学报, 2010, 36(5):96-101.
[9] 邰杨芳, 贾君枝, 贺培风. 基于受控词表的Folksonomy优化系统分析与设计[J]. 情报科学, 2014, 32(2):112-117.
[10] 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.
[11] 刘磊, 吴锡. 自由标签系统中标签的层次关系提取方法[J]. 小微型计算机系统, 2010, 31(2):302-306.
[12] Albert R, Barabási A. Statistical mechanics of complex networks[J]. Reviews of Modern Physics, 2002, 74(1):47-97.
[13] 陈超美. 科学前沿图谱:知识可视化探索[M]. 陈悦, 王贤文, 胡志刚,等译.北京:科学出版社, 2014:154-159.
[14] 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.
[15] Bastian M, Heymann S, Jacomy M. Gephi:An open source software for exploring and manipulating networks[EB/OL]. [2014-07-03]. http://www.aaai.org/ocs/index.php/ICWSM/09/paper/viewFile/154Forum/1009.
[16] Blondel V D, Guillaume J L, Lambiotte R, et al. Fast unfolding of communities in large networks[EB/OL]. [2014-07-03]. http://cs.gsu.edu/~myan2/communitydetection/13.pdf.
/
| 〈 |
|
〉 |
