Tag Cloud
Mandoulidou, Elisavet · Dialnet (Universidad de la Rioja) · 2011
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About 2,342 papers for “Tag cloud”
Mandoulidou, Elisavet · Dialnet (Universidad de la Rioja) · 2011
Cited by 0
The SAGE International Encyclopedia of Mass Media and Society · 2020
Cited by 0
Fabrice Maurel, Stéphane Ferrari, Alexandre Beudin et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2015
The Web is a powerful portal to information and knowledge. Visually Impaired people (VIP) daily browse its resources with tools such as screen readers (JAWS, VoiceOver, Tackback, etc.) or additional modules in their browser (FireVox or ChromeVox for example). However, for such users, browsing the web still lacks a way to quickly apprehend the content of a page. Therefore their browsing experience is much less efficient than the one of people without impairments. This article presents tag thunders, a vocal and interactive version of tag clouds. Our concept enables quick preview and shortens access to content. Our propositions use page structure and semantics to create a hierarchy of its summarized content and present the user with choices to navigate within the page. With this concept, we hope to offer VIPs something similar to a "first glance" of a page in order to foster new high level reading strategies in non visual situations.
Cited by 0Open access
Olli‐Pekka Hilmola · 2018
Cited by 1
OCLC Research;
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Alberto Pérez García-Plaza, Arkaitz Zubiaga, Víctor Fresno et al. · IGI Global eBooks · 2012
Tag clouds have become an appealing way of navigating through Web pages on social tagging systems. Recent research has focused on finding relations among tags to improve visualization and access to Web documents from tag clouds. Reorganizing tag clouds according to tag relatedness has been suggested as an effective solution to ease navigation. Most of the approaches either rely on co-occurrences or rely on textual content to represent tags. In this chapter, the authors explore tag cloud reorganization based on both of them. They compare these clouds from a qualitative point of view, analyzing pros and cons of each approach. The authors show encouraging results suggesting that co-occurrences produce more compelling reorganization of tag clouds than textual content, being computationally less expensive.
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Owen Kaser, et al. · 2007
Tag clouds provide an aggregate of tag-usage statistics. They are typically sent as in-line HTML to browsers. However, display mechanisms suited for ordinary text are not ideal for tags, because font sizes may vary widely on a line. As well, the typical layout does not account for relationships that may be known between tags. This paper presents models and algorithms to improve the display of tag clouds that consist of in-line HTML, as well as algorithms that use nested tables to achieve a more general 2-dimensional layout in which tag relationships are considered. The first algorithms leverage prior work in typesetting and rectangle packing, whereas the second group of algorithms leverage prior work in Electronic Design Automation. Experiments show our algorithms can be efficiently implemented and perform well.
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María Albergamo · Dialnet (Universidad de la Rioja) · 2013
Cited by 0
Owen Kaser, Daniel Lemire · arXiv (Cornell University) · 2007
Tag clouds provide an aggregate of tag-usage statistics. They are typically sent as in-line HTML to browsers. However, display mechanisms suited for ordinary text are not ideal for tags, because font sizes may vary widely on a line. As well, the typical layout does not account for relationships that may be known between tags. This paper presents models and algorithms to improve the display of tag clouds that consist of in-line HTML, as well as algorithms that use nested tables to achieve a more general 2-dimensional layout in which tag relationships are considered. The first algorithms leverage prior work in typesetting and rectangle packing, whereas the second group of algorithms leverage prior work in Electronic Design Automation. Experiments show our algorithms can be efficiently implemented and perform well.
Cited by 192Open access
Minwoo Park, Dhiraj Joshi, Alexander C. Loui · 2012
Tag-clouds are becoming extremely popular in multimedia community as media of exploration and expression. In this work, we take tag-cloud construction to a new level by allowing a tag-cloud to take any arbitrary shape while preserving some order of tags (here alphabetical). Our method guarantees non-overlap among words and ensures compact representation within specified shape. The experiments on a variety of input set of tags and shapes of the tag-clouds show that the proposed method is promising and has real-time performance. Finally, we show the applicability of our method with an application wherein the tag-clouds specific to places, people, and keywords are constructed and used for digital media selection within a social network domain.
Cited by 2
CERASE, Andrea · IRIS Research product catalog (Sapienza University of Rome) · 2009
Saggio sull'applicazione di tecniche lessicometriche e di semantic network analysis nell'ambito dell'analisi della produzione scientifica di una rivista
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Yi-Ting Huang (383118), Yeali S. Sun (12551598), Meng Chang Chen (12551601) · Figshare · 2022
Cited by 0Open access
d bergisch gladbach · 2009
Wortwolke: Schlagwortwolke mit einer Liste aus allen veroffentlichten Werken. [D-51429 Bergisch Gladbach]
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Chiodo, Carol · Knowledge Commons (Lakehead University) · 2020
The article details how to lead students through Dante's Divine Comedy using low stakes writing assignments to seed a web-based resource for writing about the Comedy.
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Úrsula Torres-Parejo, Jesús R. Campaña, M.A. Vila et al. · Communications in computer and information science · 2018
Cited by 2
Xingjian Zhang, Dezhao Song, Sambhawa Priya et al. · 2012
Abstract. We present the contextual tag cloud system, where the context defines a subset of instances, the tags are ontological terms (classes and properties), and the font sizes reflect the number of instances that use each tag. With our system, users can get familiar with the terms and understand how the dataset is populated; or they can dynamically add tags as context and investigate features or look at instances within the constrained subset. With a domain knowledge base, this system helps reveal the patterns of data. For the massive Linked Open Data cloud, it reveals the extent to which data are linked with regard to both the equivalent instances and ontology alignment. In order to achieve this function, we precompute the owl:sameAs closure, and support multiple levels of RDFS entailments. By using an inverted index and pruning algorithms, we design and implement a real time response system for the Billion Triple Challenge dataset. 1 Introduction to the Contextual Tag Cloud System How can we help casual users explore the Linked Open Data (LOD) cloud? Can we provide a more detailed summary of linkages beyond the LOD cloud diagram [3]? Can
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Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia et al. · Lecture notes in business information processing · 2010
Cited by 15
James Sinclair, Michael Cardew-hall · 2008
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Stefan Schweiger (2649118), Ulrike Cress (654003) · Figshare · 2019
Cited by 0Open access
Fran Supek (105927), Matko Bošnjak (105908), Nives Škunca (105906) et al. · Figshare · 2015
<p>All displayed words are overrepresented in the descriptions of the GO terms in the user-supplied list, with larger and darker letters signifying stronger overrepresentation. Underrepresented keywords are not displayed in the Tag Cloud.</p>
Cited by 0Open access