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Pattern Matching Techniques to Identify Syntactic Variations of Tags in Folksonomies

机译:模式匹配技术,用于识别人物中毒物标记的语法变体

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Folksonomies offer an easy method to organize information in the current Web. This fact and their collaborative features have derived in an extensive involvement in many Social Web projects. However they present important drawbacks regarding their limited exploring and searching capabilities, in contrast with other methods as taxonomies, thesauruses and ontologies. One of these drawbacks is an effect of its flexibility for tagging, producing frequently multiple syntactic variations of a same tag. In this paper we study the application of two classical pattern matching techniques, Levenshtein distance for the imperfect string matching and Hamming distance for the perfect string matching, to identify syntactic variations of tags.
机译:folksonomies提供了一种简单的方法来组织当前网站中的信息。这一事实及其协作特征在许多社交网络项目中广泛参与。然而,他们对他们有限的探索和搜索能力提出了重要的缺点,与其他方法相比,作为分类,杂耍和本体。这些缺点之一是其柔韧性标记的效果,产生相同标签的常见句法变化。在本文中,我们研究了两个古典模式匹配技术,LEVENSHTEIN距离的应用程序的完美字符串匹配的缺陷串和汉明距离,以识别标签的语法变化。

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