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WikiWhirl: wiki refactoring made easy

Published: 27 August 2012 Publication History

Abstract

Wikis' organic growth inevitably leads to wiki degradation and the need for regular wiki refactoring. So far, wiki refactoring is a manual, time-consuming and error-prone activity since refactoring is conducted at the same level that editing: the article. This results in no performant wikis and the frequent abandon of wiki projects. We argue that refactoring requires a broader view of the wiki structure, where the impact of splitting, moving or merging extends beyond a single article. This demo shows WikiWhirl, a tool that visualizes and manipulates wikis via mind maps. Built on top of FreeMind, WikiWhirl (i) imports a wiki from MediaWiki, (ii) displays its structure as a mind map, (iii) supports refactoring operators as mind map node manipulation, and finally, (iv) saves those changes back to the wiki ensuring authorship and readership.

References

[1]
Arazy, O., Stroulia E., Ruecker S., Arias C., Fiorentino C., Ganev, V. and Yau, T. Recognizing Contributions in Wikis: Authorship Categories, Algorithms, and Visualizations. Journal of the American Society for Information Science and Technology (JASIST), pages 1166--1179, 2010.
[2]
Mader, S. Wikipatterns: {A Practical Guide to Improving Productivity and Collaboration in your Organization}. John Wiley & Sons Inc., Wiley, 2008.
[3]
Puente, G., Díaz, O., "Wiki Refactoring as Mind Map Reshaping". International Conference on Advanced Information Systems Engineering (CAiSE), 2012.

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Published In

cover image ACM Conferences
WikiSym '12: Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
August 2012
295 pages
ISBN:9781450316057
DOI:10.1145/2462932
  • General Chair:
  • Cliff Lampe

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2012

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Author Tags

  1. DSL
  2. end-user
  3. mind maps
  4. refactoring
  5. wiki

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WikiSym '12
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WikiSym '12 Paper Acceptance Rate 21 of 37 submissions, 57%;
Overall Acceptance Rate 69 of 145 submissions, 48%

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