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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 |
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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.
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Received: 18 March 2014
Published: 20 October 2014
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