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论关联开放数据中时间信息的多样性和可用性

On the Diversity and Availability of Temporal Information in Linked Open Data
课程网址: http://videolectures.net/iswc2012_rula_linked_data/  
主讲教师: Anisa Rula
开课单位: 米兰大学
开课时间: 2012-12-03
课程语种: 英语
中文简介:
根据Linked Data范例,在Web上发布和使用越来越多的数据。考虑到出版商和消费者,数据的时间维度很重要。在本文中,我们研究了大规模关联数据中时间信息的表征和可用性。基于时间信息的抽象定义,我们使用来自2011 Billion Triple Challenge(BTC)数据集的数据进行实验以评估此类信息的可用性。我们特别关注时间元信息的表示,即与RDF语句和图形相关的时间信息,我们研究文献中提出的方法,进行定量和定性分析,并为数据消费者和出版商提出指导。我们的实验表明,LOD云中可用的时间信息量仍然很小;几种不同的模型已被用于不同的数据集,其中流行的方法基于RDF文档的注释。
课程简介: An increasing amount of data is published and consumed on the Web according to the Linked Data paradigm. In consideration of both publishers and consumers, the temporal dimension of data is important. In this paper we investigate the characterisation and availability of temporal information in Linked Data at large scale. Based on an abstract de nition of temporal information we conduct experiments to evaluate the availability of such information using the data from the 2011 Billion Triple Challenge (BTC) dataset. Focusing in particular on the representation of temporal meta-information, i.e., temporal information associated with RDF statements and graphs, we investigate the approaches proposed in the literature, performing both a quantitative and a qualitative analysis and proposing guidelines for data consumers and publishers. Our experiments show that the amount of temporal information available in the LOD cloud is still very small; several di erent models have been used on di erent datasets, with a prevalence of approaches based on the annotation of RDF documents.
关 键 词: 时间维度; 关联数据; 数据集
课程来源: 视频讲座网
最后编审: 2020-07-31:yumf
阅读次数: 42