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Topigraphy: visualization for large-scale tag clouds

Authors:

Ko Fujimura,

Shigeru Fujimura,

Tatsushi Matsubayashi,

Takeshi Yamada,

Hidenori OkudaAuthors Info & Claims

WWW '08: Proceedings of the 17th international conference on World Wide Web

Pages 1087 - 1088

https://doi.org/10.1145/1367497.1367669

Published: 21 April 2008 Publication History

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Abstract

This paper proposes a new method for displaying large-scale tag clouds. We use a topographical image that helps users to grasp the relationship among tags intuitively as a background to the tag clouds. We apply this interface to a blog navigation system and show that the proposed method enables users to find the desired tags easily even if the tag clouds are very large, 5,000 and above tags. Our approach is also effective for understanding the overall structure of a large amount of tagged documents.

References

[1]

Fujimura, S., Fujimura, K., and Okuda, H. Blogosonomy: Autotagging Any Text Using Bloggers' Knowledge, In International Conference on Web Intelligence, 205--212, 2007.

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Google Scholar

[2]

Kaser, O. and Lemire, D. Tag-Cloud Drawing: Algorithms for Cloud Visualization, In WWW Workshop on Tagging and Metadata for Social Information Organization, 2007.

Google Scholar

[3]

Saito, K., Yamada, T., and Kazama, K. Extracting Communities from Complex Networks by the k-dense method, In ICDM Workshop on Mining Complex Data, 2006.

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Google Scholar

[4]

Matsubayashi, T. and Yamada, T. A Force-directed Graph Drawing based on the Hierarchical Individual Timestep Method, International Journal of Electronics, Circuits and Systems, Vol.1, No.2, 116--121, 2007.

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[5]

BLOGRANGER TG, http://ranger.labs.goo.ne.jp/TG/

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[6]

The Generic Mapping Tools, http://gmt.soest.hawaii.edu/

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Graphvis, http://www.graphvis.org/

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Cited By

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Qiao LWu M(2024)An exploratory tag map for attributes-in-space tasksInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2024.104127133(104127)Online publication date: Sep-2024
https://doi.org/10.1016/j.jag.2024.104127
Sameera DSharma NChary R(2023)Text AnalyticsHandbook of Artificial Intelligence10.2174/9789815124514123010011(165-194)Online publication date: 9-Nov-2023
https://doi.org/10.2174/9789815124514123010011
Xia LGao YLin LChen YZhang K(2023)BiverWordle: Visualizing Stock Market Sentiment with Financial Text Data and TrendsProceedings of the 16th International Symposium on Visual Information Communication and Interaction10.1145/3615522.3615541(1-5)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3615522.3615541
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Index Terms

Topigraphy: visualization for large-scale tag clouds
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals
  2. Information systems applications
    1. Data mining
      1. Clustering

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Information

Published In

WWW '08: Proceedings of the 17th international conference on World Wide Web

April 2008

1326 pages

ISBN:9781605580852

DOI:10.1145/1367497

General Chairs:
Jinpeng Huai
Beihang University, China
,
Robin Chen
AT&T Labs, USA
,
Hsiao-Wuen Hon
Microsoft Research Asia, China
,
Yunhao Liu
HK University of Science and Technology, Hong Kong
,
Program Chairs:
Wei-Ying Ma
Microsoft Research Asia, China
,
Andrew Tomkins
Yahoo! Research, USA
,
Xiaodong Zhang
The Ohio State University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 21 April 2008

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WWW '08: The 17th International World Wide Web Conference

April 21 - 25, 2008

Beijing, China

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Qiao LWu M(2024)An exploratory tag map for attributes-in-space tasksInternational Journal of Applied Earth Observation and Geoinformation10.1016/j.jag.2024.104127133(104127)Online publication date: Sep-2024
https://doi.org/10.1016/j.jag.2024.104127
Sameera DSharma NChary R(2023)Text AnalyticsHandbook of Artificial Intelligence10.2174/9789815124514123010011(165-194)Online publication date: 9-Nov-2023
https://doi.org/10.2174/9789815124514123010011
Xia LGao YLin LChen YZhang K(2023)BiverWordle: Visualizing Stock Market Sentiment with Financial Text Data and TrendsProceedings of the 16th International Symposium on Visual Information Communication and Interaction10.1145/3615522.3615541(1-5)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3615522.3615541
Hearst MPedersen EPatil LLee ELaskowski PFranconeri S(2020)An Evaluation of Semantically Grouped Word Cloud DesignsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.290468326:9(2748-2761)Online publication date: 1-Sep-2020
https://doi.org/10.1109/TVCG.2019.2904683
Rinaldi ARusso C(2020)Using a multimedia semantic graph for web document visualization and summarizationMultimedia Tools and Applications10.1007/s11042-020-09761-1Online publication date: 24-Sep-2020
https://doi.org/10.1007/s11042-020-09761-1
Rinaldi A(2019)Web Summarization and Browsing Through Semantic Tag CloudsInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201907010115:3(1-23)Online publication date: 1-Jul-2019
https://doi.org/10.4018/IJIIT.2019070101
Liu SWang XCollins CDou WOuyang FEl-Assady MJiang LKeim D(2019)Bridging Text Visualization and Mining: A Task-Driven SurveyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.283434125:7(2482-2504)Online publication date: 1-Jul-2019
https://doi.org/10.1109/TVCG.2018.2834341
Murakami YKawagoe TCohen MTakahashi S(2018)Depth-Enhanced Tag Cloud Maps2018 22nd International Conference Information Visualisation (IV)10.1109/iV.2018.00031(122-127)Online publication date: Jul-2018
https://doi.org/10.1109/iV.2018.00031
Marszakowski JMokwa DDrozdowski MRusiecki uNarony H(2017)Fast algorithms for online construction of web tag cloudsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2017.06.02364:C(378-390)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.engappai.2017.06.023
Herr DHan QLohmann SErtl T(2017)Hierarchy-based projection of high-dimensional labeled data to reduce visual clutterComputers & Graphics10.1016/j.cag.2016.12.00462(28-40)Online publication date: Feb-2017
https://doi.org/10.1016/j.cag.2016.12.004
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Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches

Visual Search Strategies of Tag Clouds - Results from an Eyetracking Study

Visualizing Tags with Spatiotemporal References

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