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社会书签系统中标签相关性的语义基础

Semantic Grounding of Tag Relatedness in Social Bookmarking Systems
课程网址: http://videolectures.net/iswc08_cattuto_sgtr/  
主讲教师: Ciro Cattuto
开课单位: 科学交流基金会
开课时间: 2008-11-24
课程语种: 英语
中文简介:
如今,协作标记系统已成为填充语义Web应用程序的重要数据源。对于同义词检测和概念层次结构发现等任务,许多研究人员引入了标记相似性的度量。尽管这些措施中的大多数看起来非常自然,但它们的设计似乎往往是临时的,并且对相似概念的基本假设并未明确。仍然缺乏对正式表示知识的标签相似性的更系统的表征和验证。在这里,我们解决了这个问题,并分析了标签相似性的几个衡量标准:每个度量都是根据社交书签系统del.icio.us的数据计算出来的,并且通过将民众分类中的类似标签对映射到Wordnet中的同义词对来提供语义基础。 ,我们使用经验证的语义距离度量来表征映射标签之间的语义关系。这揭示了所研究的相似性度量的重要特征,并指出哪些更适合于给定语义应用的上下文。
课程简介: Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Even though most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptions on the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity in terms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of the investigated similarity measures and indicates which ones are better suited in the context of a given semantic application.
关 键 词: 协作标记系统; 数据源; 层次结构
课程来源: 视频讲座网
最后编审: 2019-04-28:cwx
阅读次数: 18