|
|
|
| A Research on Visualization Algorithm of Hierarchy Information Based on Folksonomy |
| Yang Ruyi, Liu Dongsu |
| School of Economics and Management, Xidian University, Xi'an 710126, China |
|
|
|
|
Abstract [Objective] Hierarchy visualization is an intuitional way to analyze semantic relations between Folksonomies by enhancing users' cognition.[Context] Folksonomy reflects the meaning of Web resources well from the perspective of the common users. Hierarchy information visualization technology, as a precise tool of representing abstract information, is widely used to assist users to cognize and analyze hierarchy data set.[Methods] Firstly, afive-tuple method is improved to describe the semantics of Folksonomy. Secondly, the paper uses an existing classification to make the Folksonomies have hierarchy relations. At last, it puts forward an information visualizational gorithm to display the Folksonomy set based on hierarchy structure.[Results] Experiments show that it reveals represents hierarchy relations of Folksonomies clearly and intuitively, improving the layout effectively. Other semantic relationships are stored in Folksonomy node for less influence on users' cognition.[Conclusions] It is proved to be an effective and simple way to visualize hierarchy information from the perspective of optimizing the overall layout and enhance the ability of user cognition.
|
|
Received: 18 March 2014
Published: 20 October 2014
|
|
|
| [1] 黄国彬. 大众标注研究进展[J]. 图书情报工作, 2008, 52(1): 13-15, 55. (Huang Guobin. Review of Study on Folk sono my at Home and Abroad[J]. Library and Information Service, 2008, 52(1): 13-15, 55.)
[2] 肖卫东, 孙扬, 赵翔, 等. 层次信息可视化技术研究综述[J]. 小型微型计算机系统, 2011, 32(1): 137-146. (Xiao Weidong, Sun Yang, Zhao Xiang, et al. Survey on the Research of Hierarchy Information Visualization[J]. Journal of Chinese Computer Systems, 2011, 32(1): 137-146.)
[3] Foley J. Getting There: the Ten Top Problems Left[J]. IEEE Computer Graphics and Applications, 2000, 20(1): 66-68.
[4] Reingold E M, Tilford J S.Tidier Drawing of Trees[J]. IEEE Transactions on Software Engineering, 1981, 7(2): 223-228.
[5] Sacco O, Bothorel C. Exploiting Semantic Web Techniques for Representing and Utilising Folksonomies[C]. In: Proceedings of the International Workshop on Modeling Social Media (MSM’10). New York: ACM, 2010.
[6] Battista G D, Eades P, Tamassia R, et al. Graph Drawing: Algorithms for the Visualization of Graphs[M]. Prentice Hall, 1998.
[7] Lamping J, Rao R, Pirolli P. A Focus + Context Technique Based on Hyperbolic Geometry for Visualizing Large Hierarchies[C]. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’95). New York: ACM Press/Addison-Wesley Publishing Co., 1995: 401-408.
[8] Shneiderman B. Tree Visualization with Tree-maps: 2-d Space-filling Approach[J]. ACM Transactions on Graphics (TOG), 1992, 11(1): 92-99.
[9] 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 Semantic Web (ISWC’08). Berlin, Heidelberg: Springer-Verlag, 2008: 615-631.
[10] Sanderson M, Croft B. Deriving Concept Hierarchies from Text[C]. In: Proceedings of the 22nd ACM Conference of the Special Interest Group in Information Retrieval (SIGIR’99). New York: ACM, 1999: 206-213.
[11] 李明亮. 基于大众注释的语义提取研究及应用[D].南京: 东南大学, 2008. (Li Mingliang. A Research and Application of Semantic Extraction Based on Social Tagging[D]. Nanjing: Southeast University, 2008.)
[12] Wu L H, Hsu P Y. An Interactive and Flexible Information Visualization Method[J]. Information Sciences, 2013, 221: 306-315.
[13] Tomuro N, Shepitsen A. Construction of Disambiguated Folksonomy Ontologies Using Wikipedia[C]. In: Proceedings of the 2009 Workshop on the People’s Web Meets NLP: Collaboratively Constructed Semantic Resources. Stroudsburg: Association for Computational Linguistics, 2009: 42-50. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
