Labeling News Topic Threads with Wikipedia Entries
Labeling News Topic Threads with Wikipedia Entries
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DOI：
10.1109/ism.2009.67
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
Tomoki Okuoka;Tomokazu Takahashi;Daisuke Deguchi;I. Ide;H. Murase
中科院分区：
文献类型：
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作者：
Tomoki Okuoka;Tomokazu Takahashi;Daisuke Deguchi;I. Ide;H. Murase
维基百科是一个著名的在线百科全书。然而，大多数维基百科条目主要是通过文本来解释的，因此使用多媒体信息（如视频）来增强内容将非常有用。因此，我们正在研究一种方法，通过解释条目的广播视频来扩展维基百科条目的信息。在这项工作中，我们特别关注新闻视频和有关新闻事件的维基百科条目。为了扩展维基百科条目的信息，有必要链接新闻视频和维基百科条目。因此，主要的问题将是一种自动为新闻视频标记维基百科条目的方法。通过这种方式，可以更详细地解释新闻视频，并且新闻事件的背景应该变得更容易理解。通过实验，新闻视频被准确地标注为维基百科条目，准确率为86%，召回率为79%。
Wikipedia is a famous online encyclopedia. However most Wikipedia entries are mainly explained by text, so it will be very informative to enhance the contents with multimedia information such as videos. Thus we are working on a method to extend information of Wikipedia entries by means of broadcast videos which explain the entries. In this work, we focus especially on news videos and Wikipedia entries about news events. In order to extend information of Wikipedia entries, it is necessary to link news videos and Wikipedia entries. So the main issue will be on a method that labels news videos with Wikipedia entries automatically. In this way, explanations could be more detailed with news videos can be exhibited, and the context of the news events should become easier to understand. Through experiments, news videos were accurately labeled with Wikipedia entries with a precision of 86% and a recall of 79%.