图 书 馆
使用网络度量检测Web上的错误身份链接Detecting Erroneous Identity Links on the Web using Network Metrics |
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| 课程网址: | http://videolectures.net/iswc2018_raad_detecting_erroneous/ |
| 主讲教师: | Joe Raad |
| 开课单位: | Inria Saclay-法国 |
| 开课时间: | 2018-11-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Although best practices for publishing Linked Data encourage the re-use of existing IRIs, multiple names are often used to denote the same thing. Whenever multiple names are used, owl:sameAs statements are needed in order to align them. Studies that date back as far as 2009, have observed multiple misuses of owl:sameAs links. As a result, alignment of Linked Data is currently broken, since many owl:sameAs links are erroneous, even introducing inconsistencies. In this paper, we show how network metrics such as the community structure of the owl:sameAs graph can be used to detect such (possibly) erroneous statements. We evaluate our method on a subset of the LOD Cloud that contains over 558M owl:sameAs statements. |
| 关 键 词: | 发布链接数据; owl:sameAs链接; owl:sameAs语句 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-29：cyh |
| 最后编审: | 2022-12-29：cyh |
| 阅读次数: | 28 |