A STUDY OF EVALUATING THE VALUE OF SOCIAL TAGS AS INDEXING TERMS
A STUDY OF EVALUATING THE VALUE OF SOCIAL TAGS AS INDEXING TERMS
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评估社交标签作为索引词的价值的研究
DOI：
10.1142/9789814299862_0018
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发表时间：
2009
影响因子：
4.4
通讯作者：
Kwan Yi
中科院分区：
文献类型：
--
作者：
Kwan Yi
尽管社会标签作为索引术语存在语义模糊、缺乏同义词和多义词控制等固有缺陷，但社会标签在社会标签信息系统中广泛应用于信息组织、过滤和发现。很少有实证研究在操作和实验设置中评估社会标签作为索引术语的价值。本研究的目的是利用潜在语义索引（LSI）方法评估社会标签在信息检索模型背景下的索引价值。社会标记资源被划分为10个杜威十进分类法（DDC）主要类别。分配给资源的社会标签在LSI中表示资源。测量了资源之间的相似度，并比较了10个DDC主要类别的总相似度。为了获得最佳结果，我们尝试了24种不同的实验。本研究的实证数据积极地证明了社会标签作为索引词的价值。
AbstractRegardless of their inherent drawbacks as indexing terms, such as semantic ambiguity and the lack of synonymy and polysemy control, the use of social tags is widespread in information organization, filtering, and discovery through social tagging information systems. There are few empirical studies that have evaluated the value of social tags as indexing terms in an operational and experimental setting. The objective of this study is to assess the indexing value of social tags in a context of an information retrieval model using the Latent Semantic Indexing (LSI) method. Socially tagged resources were classified into ten Dewey Decimal Classification (DDC) main classes. Social tags assigned to the resources were used to represent them in LSI. Similarities between resources were measured, and the aggregated similarities according to the ten DDC main classes were compared. Twenty-four different experiments were attempted for optimal results. The empirical data of this study positively demonstrates the value of social tags as indexing term.