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用网络度量评估链接数据映射

Assessing Linked Data Mappings using Network Measures
课程网址: http://videolectures.net/eswc2012_gueret_network_measures/  
主讲教师: Christophe Guéret
开课单位: 阿姆斯特丹自由大学
开课时间: 2012-07-04
课程语种: 英语
中文简介:
使用网络测量工具 é ret、paul groth、claus stadler 和 jens lehmann 链接数据评估链接数据是资源之间链接设置的核心。链接提供了丰富的语义、指向额外信息的指针, 并启用了数据集的合并。然而, 随着链接数据数量的增加, 需要自动创建链接, 这种自动化方法可以创建低质量链接或不合适的网络结构。特别是, 很难知道引入的链接是提高还是降低了链接数据的质量。在本文中, 我们提出了一个可扩展的框架和一系列合理的网络措施, 允许评估链接的数据映射。我们在一组已知的好与坏链接上测试该框架, 并讨论哪些网络措施显示出在评估中使用的希望。
课程简介: Assessing Linked Data Mappings using Network Measures Christophe Guéret, Paul Groth, Claus Stadler, and Jens Lehmann Linked Data is at its core about the setting of links between resources. Links provide enriched semantics, pointers to extra information and enable the merging of data sets. However, as the amount of Linked Data has grown, there has been the need to automate the creation of links and such automated approaches can create low-quality links or unsuitable network structures. In particular, it is difficult to know whether the links introduced improve or diminish the quality of Linked Data. In this paper, we present an extensible framework and a series of justified network measures that allow for the assessment of Linked Data mappings. We test the framework on a set of known good and bad links generated by common mapping systems and discuss which network measures show promise for use in assessment.
关 键 词: 语义Web; 网络分析; 数据映射; 网络度量评估
课程来源: 视频讲座网
最后编审: 2020-06-04:毛岱琦(课程编辑志愿者)
阅读次数: 48