Structuring folksonomies with implicit tag relations

F. Matthes, C. Neubert, Alexander Steinhoff
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引用次数: 4

Abstract

Tagging systems allow users to assign arbitrary text labels (i.e., tags) to various types of resources, such as photos or web pages, to facilitate future retrieval and selective sharing of contents. The resulting system of classification is referred to as a folksonomy. The uncontrolled nature of tags leads to inconsistencies in the usage of terms which impairs the utility of the system. Approaches to this problem that map tags to concepts of external knowledge representations, such as ontologies, are often inapplicable since they require that corresponding concepts exist and that they reflect the meaning of tags as intended by the users. In this paper, we present the notion of implicit tag relations. Our aim is to improve the accessibility of contents in tagging systems without significantly reducing the flexibility and universal applicability of tags. Instead of explicitly relating tags to each other, we propose to give users the ability to retroactively alter folksonomies by changing the tags of many resources with a single operation. This way, the usage of tags can be harmonized and it can be controlled how they are used in combination. We highlight the benefits of our approach compared to explicit tag relations and discuss important implications as well as its limitations.
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使用隐式标签关系构建大众分类法
标签系统允许用户为各种类型的资源(如照片或网页)分配任意的文本标签(即标签),以方便将来检索和有选择地共享内容。由此产生的分类系统被称为民间分类学。标签的不受控制的性质导致术语使用的不一致,这损害了系统的效用。将标签映射到外部知识表示(如本体)的概念的方法通常是不适用的,因为它们要求存在相应的概念,并且它们反映了用户所期望的标签的含义。本文提出了隐式标签关系的概念。我们的目标是在不显著降低标签的灵活性和普遍适用性的情况下,提高标签系统中内容的可访问性。我们不需要显式地将标签彼此关联起来,而是建议让用户能够通过单个操作更改许多资源的标签来追溯地更改大众分类法。这样,标签的使用就可以协调一致,并且可以控制它们如何组合使用。我们强调了与显式标签关系相比,我们的方法的好处,并讨论了重要的含义以及它的局限性。
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HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022 HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021 - 2 September 2021 HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual Event, USA, July 13-15, 2020 Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides. QualityRank: assessing quality of wikipedia articles by mutually evaluating editors and texts
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