基于同义词词林的社会化标签等级结构构建研究

Research on Hierarchical Structure Construction of Socialized Tags Based on TongYiCiCiLin

[目的/意义]利用同义词词林,挖掘标签间的相互关系,构建标签等级结构,对标签进行规范化控制,从而提高利用标签检索的效率。[方法/过程]首先,按照标签间关系联系的紧密大小对标签间的关系进行了层级划分;随后,通过分析标签与资源的联系强度,将标签与关系紧密的资源联系起来;最后,根据标签间及标签与资源的关系来确定标签间的父子关系,构建标签等级结构。[结果/结论]选取了"豆瓣读书"中的实例数据进行实证研究,研究表明,该算法具有一定的可行性和有效性,能够较好地构建标签等级结构。

[Purpose/Significance]The research aims to use TongYiCiCiLin to explore the relationship between tags,build the hierarchical structure of tags and standardize the tag to improve the efficiency of tag retrieval.[Method/Process]Firstly,the relationship between the tags is hierarchically divided according to the closeness degree of the relationship between the tags.Then,by analyzing the link between the tag and the resource,the tag is linked to the closely related resource.Finally,according to the relationship between tags and the relationship between tags and resources,the parent-child relationship between tags is determined,and the hierarchical structure of tags is built.[Result/Conclusion]The data from“Douban Reading”is selected for empirical verification.The research shows that the algorithm is feasible and effective,and it can construct the hierarchical structure of tag better.