摘要
以BibSonomy.org真实数据为研究对象,通过网站"Related Tag"栏分别获取两个梯次的关联标签集合。采用形式概念分析的方法构建关联标签概念格,并基于概念格对关联标签进行聚类分析和关联规则挖掘,以此揭示出关联标签间隐含的概念间关系和潜在的语义关联。对关联标签这一新兴的导航方式中隐含的结构特征进行分析和研究,提出关联标签间存在的"语义关联词"和"语义下位词"关系,完善Folksonomy知识组织模式的标签导航体系。
Using the real data of BibSonomy. org for the study, this paper collects two echelon of the related tags through the ＂Related Tag＂ column of website. The formal concept analysis approach is employed to build concept lattice of related tags, and the clustering analysis and mining of association rules are executed based on concept lattice about related tags, then the implicit relationship between the concepts and potential semantic relevance of related tags are revealed. The structural features implicit in the emerging methods of navigation in the related tags are analyzed, and ＂Semantic Synonym＂ and ＂Semantic Hyponym＂ are proposed, which improve the tag navigation system of folksonomy knowledge organization mode.
出处
《现代图书情报技术》
CSSCI
北大核心
2012年第6期22-28,共7页
New Technology of Library and Information Service
基金
国家自然科学基金项目"基于概念格的数字图书馆知识构建研究"(项目编号:70973044)
浙江省自然科学基金项目"基于概念格的第二代电子商务Folksonomy信息知识组织研究"(项目编号:Y6110293)的研究成果之一
