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数据网络中的标签

Labels in the Web of Data
课程网址: http://videolectures.net/iswc2011_ell_labels/  
主讲教师: Basil Ell
开课单位: 卡尔斯鲁厄理工学院
开课时间: 2011-11-25
课程语种: 英语
中文简介:
数据Web上的实体需要有标签,以便以一种有意义的方式向人类解释。这些标签可用于研究数据,即,用于在链接数据浏览器或其他前端应用程序中显示实体,还支持基于关键字或基于自然语言的Web数据搜索。太多的应用程序在缺少更容易理解的表示(如人类可读的标签)的情况下,退回到向用户公开实体的uri。在这项工作中,我们介绍了许多与标签相关的度量标准:标签的完整性、标签的有效可访问性、标签的不模糊性和标签的多语言性。我们报告了使用这些指标测量数据网络的结果。我们还研究了哪些属性用于标记,因为许多词汇表定义了RDFS标准属性之外的其他标记属性。
课程简介: Entities on the Web of Data need to have labels in order to be exposable to humans in a meaningful way. These labels can then be used for exploring the data, i.e., for displaying the entities in a linked data browser or other front-end applications, but also to support keyword based or natural-language based search over the Web of Data. Far too many applications fall back to exposing the URIs of the entities to the user in the absence of more easily understandable representations such as human-readable labels. In this work we introduce a number of label related metrics: completeness of the labeling, the efficient accessibility of the labels, unambiguity of labeling, and the multilinguality of the labeling. We report our findings from measuring the Web of Data using these metrics. We also investigate which properties are used for labeling purposes, since many vocabularies defi ne further labeling properties beyond the standard property from RDFS.
关 键 词: 数据Web; 标签; 数据研究; 实体显示; 数据搜索; 标签的属性; 标记属性
课程来源: 视频讲座网公开课
最后编审: 2019-05-26:cwx
阅读次数: 17