标签云作为信息检索和内容表示工具的研究综述

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Information Visualization Pub Date : 2020-11-08 DOI:10.1177/1473871620966638
Úrsula Torres-Parejo, Jesús R. Campaña, M. Vila, M. Delgado
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引用次数: 3

摘要

标签云是一种工具,从其概念开始就在Internet上广泛使用。这些文本可视化的主要应用是信息检索、内容表示和浏览生成标签的原始文本。尽管标签云被广泛使用,它们非常受欢迎,并且对它们的不同方面进行了大量的研究,但很少有研究总结了它们作为信息检索和内容表示工具时最重要的特征。本文总结了文献中发现的标签云的主要特征,如它们的不同功能、设计和消极方面。我们还总结了用于捕获从查询结果生成的标记云的结构属性的最流行指标,以及当标记云作为内容表示工具时评估标记云优劣的其他度量。讨论了标签云中不同的标注方法和语义关联过程。最后,我们给出了可视化界面的备选方案列表,使得本研究对想要更深入地研究内容表示和信息检索界面的研究人员来说是一个有用的第一帮助。
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A survey of tag clouds as tools for information retrieval and content representation
Tag clouds are tools that have been widely used on the Internet since their conception. The main applications of these textual visualizations are information retrieval, content representation and browsing of the original text from which the tags are generated. Despite the extensive use of tag clouds, their enormous popularity and the amount of research related to different aspects of them, few studies have summarized their most important features when they work as tools for information retrieval and content representation. In this paper we present a summary of the main characteristics of tag clouds found in the literature, such as their different functions, designs and negative aspects. We also present a summary of the most popular metrics used to capture the structural properties of a tag cloud generated from the query results, as well as other measures for evaluating the goodness of the tag cloud when it works as a tool for content representation. The different methods for tagging and the semantic association processes in tag clouds are also considered. Finally we give a list of alternative for visual interfaces, which makes this study a useful first help for researchers who want to study the content representation and information retrieval interfaces in greater depth.
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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