Folksonomic标签云作为内容索引的辅助工具
Folksonomic Tag Clouds as an Aid to Content Indexing
摘要：
社会标签系统最近已经发展成为互联网上一种流行的数据组织方法。这些系统允许用户以一种对他们有意义的方式组织他们的内容，而不是强迫他们使用预先确定的和严格的分类。这些大众分类法提供了描述Web资源的非结构化标签的良好填充源，这些标签可以潜在地用作这些资源的语义索引项。然而，让人们就什么标签最好地描述资源达成一致是一个困难的问题，因此任何增加所选术语的一致性和稳定性的功能都是非常有益的。我们调查如何提供一个标签云，一个加权列表的条款，通常用于协助浏览的大众分类，在标记过程本身的影响标签产生的，以及如何困难的用户认为的任务。我们表明，说明最流行的标签，以用户协助标记过程中，并鼓励形成一个稳定和一致的大众分类法。
英文摘要：
Social tagging systems have recently developed as a popular method of data organisation on the Internet. These systems allow users to organise their content in a way that makes sense to them, rather than forcing them to use a pre-determined and rigid set of categorisations. These folksonomies provide well populated sources of unstructured tags describing web resources which could potentially be used as semantic index terms for these resources. However getting people to agree on what tags best describe a resource is a difficult problem, therefore any feature which increases the consistency and stability of terms chosen would be extremely beneficial. We investigate how the provision of a tag cloud, a weighted list of terms commonly used to assist in browsing a folksonomy, during the tagging process itself influences the tags produced and how difficult the user perceived the task to be. We show that illustrating the most popular tags to users assists in the tagging process and encourages a stable and consistent folksonomy to form.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
