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).
曾新红, 蔡庆河, 曾汉龙, 唐铖, 黄华军, 林伟明. 中文叙词表本体可视化群组布局算法研究与实现[J]. 现代图书情报技术, 2012, (10): 8-15.
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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