衡量在线社区的主题特异性Measuring the Topical Specificity of Online Communities |
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课程网址: | http://videolectures.net/eswc2013_rowe_measuring/ |
主讲教师: | Fabien Gandon, Matthew Rowe |
开课单位: | 兰开斯特大学 |
开课时间: | 2013-07-08 |
课程语种: | 英语 |
中文简介: | 对于社区管理者和主持人而言,不仅要确定社区当前的关键主题,还要评估社区的特殊程度,以便:a)创建子社区,以及:b)预测社区行为和主题演变。在本文中,我们提出了一种方法,通过测量在这些论坛中讨论的语义概念的抽象,在经验上表征在线社区论坛的主题特征。我们提出了一系列概念抽象度量,它们对概念图(即资源类型层次结构和SKOS类别结构)起作用,并使用论坛的基本真实排名进行经验评估,证明了我们方法的有效性。我们的结果表明,所提出的方法优于随机基线,并且在预测具有各种抽象度量的任何论坛的主题特异性时,资源类型层次结构很好地工作。 |
课程简介: | For community managers and hosts it is not only important to identify the current key topics of a community but also to assess the specificity level of the community for: a) creating sub-communities, and: b) anticipating community behaviour and topical evolution. In this paper we present an approach that empirically characterises the topical specificity of online community forums by measuring the abstraction of semantic concepts discussed within such forums. We present a range of concept abstraction measures that function over concept graphs - i.e. resource type-hierarchies and SKOS category structures - and demonstrate the efficacy of our method with an empirical evaluation using a ground truth ranking of forums. Our results show that the proposed approach outperforms a random baseline and that resource type-hierarchies work well when predicting the topical specificity of any forum with various abstraction measures. |
关 键 词: | 社区; 语义概念; 概念抽象度量 |
课程来源: | 视频讲座网 |
最后编审: | 2019-04-14:lxf |
阅读次数: | 29 |