Browsing System for Weblog Articles based on Automated Folksonomy
Browsing System for Weblog Articles based on Automated Folksonomy
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发表时间：
2006
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通讯作者：
Tsutomu Ohkura;Yoji Kiyota;Hiroshi Nakagawa
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作者：
Tsutomu Ohkura;Yoji Kiyota;Hiroshi Nakagawa
Folksonomy是一种新的人工分类方案，它基于用户自由选择的关键字来标记他们的作品。在folk-sonomy中，用户将项目（即照片，书签）放在服务器上并与其他用户共享。所有者甚至其他用户可以附加标签到这个项目为自己的分类，他们反映了许多人的观点。由于标签是从用户的词汇表中选取的，并且包含了许多人的观点，因此分类结果对于普通用户来说很容易理解。因此，大众分类法作为一种有效的浏览方法，因为用户可以通过查看标签来掌握项目的本质。尽管大众分类法的可扩展性比其他人工分类方法高得多，但该方法不能处理大量的条目，如互联网上的整个博客文章。为了解决这一问题，我们尝试使用自动匹配的大众分类法来增强博客浏览.我们创建一个“tagger”，它是一个程序，用于确定是否应该将特定的标签附加到一个项目上。此外，我们提出了一种方法来创建一个候选标签集，这是一个列表的标签，可以附加到项目，从博客类别- egory名称。与手动创建的候选标记集相比，我们实现了约95%的精确度。
Folksonomy is a new manual classification scheme based on tagging eorts of users with freely chosen keywords. In folk- sonomy, a user puts an item (i.e. a photo, a book mark) on a server and shares it with other users. The owner and even the other users can attach tags to this item for their own classification, and they reflect many one's viewpoints. Since tags are chosen from users' vocabulary and contain many one's viewpoints, classification results are easy to un- derstand for ordinary users. As a result, folksonomy serves as an ecient browsing method, because users can grasp the essence of items by looking at the tags. Even though the scalability of folksonomy is much higher than the other manual classification schemes, the method cannot deal with tremendous number of items such as whole weblog articles on the Internet. For the purpose of solving this problem, we try to auto- mate folksonomy to enhance weblog browsing. We create a "tagger" which is a program to determine whether a par- ticular tag should be attached to an item. In addition, we propose a method to create a candidate tag set, which is a list of tags that may be attached to items, from weblog cat- egory names. We achieved around 95% precision compared to a candidate tag set created manually.