基于WordNet和Wiki的标签集中多义标签查找方法

S. Iftikhar, F. Jabeen, Hira Nasir, Shahwana Fida
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引用次数: 1

摘要

标记过程包括使用标签来使用一组关键字(标记)提供带有进一步信息的内容。标记是用于提供有关资源的元数据的关键字或短语。资源可以是图片、网页、视频、音频等,这些都可以在网络上获得。本文对标注中的多义问题进行了分析,多义现象是造成标注歧义、冗余和错误搜索结果的主要原因。特别是当用户查看url时,用户无法猜测它引用的是哪种资源。通过查看与资源相关联的标记集,用户可以猜测该资源,但是如果标记集包含多义标记,则猜测可能是不明确的。提出了一种新的民俗标签集中多义标签的检测方法。利用了Word Net、维基百科和可视标签词典的功能。实验是在取自Delicious的标签集上进行的。这种方法可以检测到民俗分类学中出现的许多常见类型的多义,如对比多义和互补多义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WordNet and Wiki Based Approach for Finding Polysemy Tags in a Tag Set
The tagging process involves use of labels to provide content with further information using a set of keywords (tags). A tag is a keyword or phrase used to provide metadata about a resource. Resource can be image, web page, video, audio etc., which are available on Web. In this research article the issue of polysemy (a word or phrase with multiple meanings) in tagging is analyzed because it creates a lot of confusion and is cause of ambiguity, redundancy and incorrect search results. In particular if a user looks at URLs the user can’t guess about what sort of resource it refers. By looking at tag set associated with a resource a user can guess about the resource, but the guess can be ambiguous if tag set contains polysemy tags. A novel solution is proposed for the detection of polysemy tags in folk tag set. The capabilities of Word Net, Wikipedia and visual tag dictionary are exploited. Experiments are performed on tag sets that is taken from Delicious. This approach can detect many common types of polysemy that appears in folksonomies like contrastive and complementary polysemy.
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