Article

cloudalicious: folksonomy over time

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Terrell RussellAuthors Info & Claims

JCDL '06: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries

Page 364

https://doi.org/10.1145/1141753.1141859

Published: 11 June 2006 Publication History

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Abstract

Cloudalicious is an online visualization tool that has been designed to give insight into how Òtag cloudsÓ, or folksonomies, develop over time. A folksonomy is an organic system of text labels attributed to an object by the users of that object. The most common object so far to be the subject of this tagging has been the online bookmark. Stabilization of a URL's tag cloud over time is the clearest result of this type of visualization. Any diagonal movement on the graphs, indicative of a change in the tags being used to describe a URL, should garner further discussion.

References

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Coates, T. Two cultures of fauxonomies collide. http://www.plasticbag.org/archives/2005/06/two_cultures_of_fauxonomies_collide.shtml 2005.

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Russell, T. Cloudalicious. http://cloudalicio.us 2005.

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Schachter, J. Del.icio.us. http://del.icio.us 2005.

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Speroni, P. On tag clouds, metric, tag sets and power laws. http://blog.pietrosperoni.it/2005/05/25/tag-clouds-metric/ 2005.

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Lin YParra DTrattner CBrusilovsky P(2019)Tag-based information access in image collections: insights from log and eye-gaze analysesKnowledge and Information Systems10.1007/s10115-019-01343-4Online publication date: 11-Feb-2019
https://doi.org/10.1007/s10115-019-01343-4
Khusro SJabeen FKhan A(2018)Tag Clouds: Past, Present and FutureProceedings of the National Academy of Sciences, India Section A: Physical Sciences10.1007/s40010-018-0571-x91:2(369-381)Online publication date: 19-Dec-2018
https://doi.org/10.1007/s40010-018-0571-x
Dimitrov DHelic DStrohmaier M(2018)Tag-Based Navigation and VisualizationSocial Information Access10.1007/978-3-319-90092-6_6(181-212)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_6
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Index Terms

cloudalicious: folksonomy over time
1. Information systems
  1. World Wide Web

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Published In

JCDL '06: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries

June 2006

402 pages

ISBN:1595933549

DOI:10.1145/1141753

General Chair:
Gary Marchionini
University of North Carolina, Chapel Hill
,
Program Chairs:
Michael L. Nelson
Old Dominion University
,
Catherine C. Marshall
Microsoft

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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Association for Computing Machinery

New York, NY, United States

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Published: 11 June 2006

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June 11 - 15, 2006

NC, Chapel Hill, USA

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Lin YParra DTrattner CBrusilovsky P(2019)Tag-based information access in image collections: insights from log and eye-gaze analysesKnowledge and Information Systems10.1007/s10115-019-01343-4Online publication date: 11-Feb-2019
https://doi.org/10.1007/s10115-019-01343-4
Khusro SJabeen FKhan A(2018)Tag Clouds: Past, Present and FutureProceedings of the National Academy of Sciences, India Section A: Physical Sciences10.1007/s40010-018-0571-x91:2(369-381)Online publication date: 19-Dec-2018
https://doi.org/10.1007/s40010-018-0571-x
Dimitrov DHelic DStrohmaier M(2018)Tag-Based Navigation and VisualizationSocial Information Access10.1007/978-3-319-90092-6_6(181-212)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_6
Hai-Jew S(2017)Static Text-Based Data VisualizationsDecision Management10.4018/978-1-5225-1837-2.ch032(708-784)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1837-2.ch032
Pandya SVirparia P(2017)Folksonomy-Based Information Retrieval by Generating Tag Cloud for Electronic Resources Management Industries and Suggestive Mechanism for Tagging Using Data Mining TechniquesWeb Usage Mining Techniques and Applications Across Industries10.4018/978-1-5225-0613-3.ch003(80-91)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0613-3.ch003
Seyfert MViola IZemcik PBittner JViola I(2017)Dynamic word cloudsProceedings of the 33rd Spring Conference on Computer Graphics10.1145/3154353.3154358(1-8)Online publication date: 15-May-2017
https://dl.acm.org/doi/10.1145/3154353.3154358
Hai-Jew S(2015)Static Text-Based Data VisualizationsDesign Strategies and Innovations in Multimedia Presentations10.4018/978-1-4666-8696-0.ch007(203-302)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-8696-0.ch007
Feicheng MYating L(2014)Utilising social network analysis to study the characteristics and functions of the co-occurrence network of online tagsOnline Information Review10.1108/OIR-11-2012-012438:2(232-247)Online publication date: 25-Feb-2014
https://doi.org/10.1108/OIR-11-2012-0124
Lamothe JShe JCheung M(2013)Cyber-physical DirectoryProceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing10.1109/GreenCom-iThings-CPSCom.2013.376(2007-2012)Online publication date: 20-Aug-2013
https://dl.acm.org/doi/10.1109/GreenCom-iThings-CPSCom.2013.376
Cress UHeld C(2012)Harnessing collective knowledge inherent in tag cloudsJournal of Computer Assisted Learning10.1111/j.1365-2729.2012.00491.x29:3(235-247)Online publication date: 23-Aug-2012
https://doi.org/10.1111/j.1365-2729.2012.00491.x
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Automatic tag expansion using visual similarity for photo sharing websites

Signaling emotion in tagclouds

Survey on social tagging techniques

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