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New Technology of Library and Information Service  2012, Vol. Issue (10): 8-15    DOI: 10.11925/infotech.1003-3513.2012.10.02
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The Research and Implementation of Clustered Graphs Layout Algorithm for OntoThesaurus Visualization
Zeng Xinhong1,2, Cai Qinghe2, Zeng Hanlong2, Tang Cheng2, Huang Huajun1, Lin Weiming1
1. Shenzhen University Library, Shenzhen 518060, China;
2. College of Computer and Software, Shenzhen University, Shenzhen 518060, China
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Abstract  There exists “Descriptor-RelationName-RelatedTermsSet” structural feature between descriptor and its associated terms in OntoThesaurus, and the relationship between the extended subproperties and their superproperty should be visualized, so this paper presents clusters layout algorithms to meet the visualization need of OntoThesaurus. An intuitive and vivid effect is produced, which is done by combing the force-directed algorithm of the information visualization community with animation technology. The initial prototype can process NKOS data represented in Semantic Web description languages such as OntoThesaurus, SKOS, CNKOS, which are based on RDF triples, and therefore can be generally used to visualize the instances of concept class in NKOS (especially Chinese NKOS).
Key wordsOntoThesaurus      Information visualization      Clusters layout      Force-directed algorithm     
Received: 12 July 2012      Published: 24 January 2013




Cite this article:

Zeng Xinhong, Cai Qinghe, Zeng Hanlong, Tang Cheng, Huang Huajun, Lin Weiming. The Research and Implementation of Clustered Graphs Layout Algorithm for OntoThesaurus Visualization. New Technology of Library and Information Service, 2012, (10): 8-15.

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