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Did They Notice? - A Case-Study on the Community Contribution to Data Quality in DBLP

机译:他们注意到了吗? - 在DBLP中对数据质量的贡献为例

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摘要

Defective metadata is a significant problem of digital libraries. So far, automatic error detectors have been in the focus of research interest. However, recent public projects have shown that patrons are willing to invest time to report errors if they are called to contribute. In this case-study, we analyze the community contribution to error detection for DBLP, a public bibliographic collection. Our study is based on e-mails sent to the project between January 2007 and November 2010. We manually and automatically identify error reports and analyze their contribution to corrections of the DBLP collection. We show that users frequently report certain types of defects while others are ignored. The detection of homonym-name inconsistencies in particular strongly depends on user input. We also discuss who sends the reports and which communities are particularly active in this matter.
机译:有缺陷的元数据是数字图书馆的重大问题。到目前为止,自动错误探测器一直处于研究兴趣的重点。但是,最近的公共项目表明,如果呼吁拨款,顾客愿意投资时间来报告错误。在本例研究中,我们分析了一个公共书目收集的DBLP对错误检测的社区贡献。我们的研究基于2007年1月至2010年1月至2010年1月至11月的电子邮件。我们手动并自动识别错误报告并分析其对DBLP集合的更正的贡献。我们表明用户经常报告某些类型的缺陷,而其他人则被忽略。阳记名称的检测特别是强烈取决于用户输入。我们还讨论谁发送报告,并在此事上特别积极活动。

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