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Automated Semantic Elaboration Of Web Site Information Architecture

机译:网站信息架构的自动化语义化

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Structuring of the content is an important step in web site design, affecting greatly navigability and the overall user experience. Automated support of this task is the object of this paper. AutoCardSorter, a computational tool that supports clustering of the web pages of a site, is introduced. The proposed tool-based methodology uses semantic similarity measures, such as latent semantic analysis, and hierarchical clustering algorithms, in order to suggest suitable information navigation schemes. In the paper, after introducing AutoCardSorter design and functionality, three independent studies are discussed. The studies, that were conducted in order to validate the proposal, compared the proposed method with the established card-sorting approach, in different domains. It was found that substantial gain in effectiveness was achieved without expense in the quality of results, therefore, reducing the required time and human resources.
机译:内容的结构是网站设计中的重要步骤,极大地影响了可导航性和整体用户体验。本文的目的是自动支持此任务。介绍了AutoCardSorter(一种支持站点网页群集的计算工具)。所提出的基于工具的方法使用语义相似性度量(例如潜在语义分析和分层聚类算法)来建议合适的信息导航方案。在介绍AutoCardSorter的设计和功能后,本文讨论了三个独立的研究。为了验证提案而进行的研究将提案的方法与已建立的卡片分类方法在不同领域进行了比较。发现在不牺牲结果质量的情况下取得了实质性的效果提高,因此减少了所需的时间和人力资源。

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