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标记人类知识

Tagging Human Knowledge
课程网址: http://videolectures.net/wsdm2010_heymann_thn/  
主讲教师: Paul Heymann
开课单位: 斯坦福大学
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
标记系统的一个基本前提是,普通用户可以使用不受控制的词汇表组织大量的集合,用于浏览和其他任务。到目前为止,这一前提仍相对未经研究。使用库数据,我们测试组织集合的标记方法。我们发现标记系统具有三个主要的大型组织特征:一致性、质量和完整性。除了测试这些特性之外,我们提出的结果表明,用户可以生成与专家设计的主题类似的标记,付费标记可以有效地补充标记系统中的标记,而且跨标记系统的信息集成可能是可能的。
课程简介: A fundamental premise of tagging systems is that regular users can organize large collections for browsing and other tasks using uncontrolled vocabularies. Until now, that premise has remained relatively unexamined. Using library data, we test the tagging approach to organizing a collection. We find that tagging systems have three major large scale organizational features: consistency, quality, and completeness. In addition to testing these features, we present results suggesting that users produce tags similar to the topics designed by experts, that paid tagging can effectively supplement tags in a tagging system, and that information integration may be possible across tagging systems.
关 键 词: 计算机科学; 语义网; 注释; 标记
课程来源: 视频讲座网
最后编审: 2019-10-30:cwx
阅读次数: 32