Date post: | 23-Jun-2015 |
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AuthorRewardINCREASING COMMUNITY CURATION IN BIOLOGICAL KNOWLEDGE WIKIS THROUGH AUTOMATED AUTHORSHIP QUANTIFICATION
AuthorsLin DaiBeijing Institute of GenomicsBeijing Institute of Technology
Ming TianBeijing Institute of Technology
Jiayan WuBeijing Institute of Genomics
Jingfa XiaoBeijing Institute of Genomics
Xumin WangBeijing Institute of Genomics
Jeffrey P. TownsendYale University
Zhang ZhangBeijing Institute of Genomics
Introduction
Introduction Biological data is being generated at a rate faster than ever New research depends on existing knowledge Thus, a comprehensive and up-to-date collection of biological data is of importance
Introduction Traditionally, knowledge was consolidated through expert curation But, the massive and fast-expanding volume of data has made manual curation laborious and time-consuming
Meanwhile, community curation is gaining ground as a solution to this
Community curation “Harnessing community intelligence for
knowledge curation”
Prime Example: Wikipedia
Wikipedia has inspired several biological wikisShown above is ArrayWiki (http://arraywiki.bme.gatech.edu)
However, bio-wikis have not made substantial impact because of a lack of
participation from the scientific community
Because of a lack of explicit authorship No explicit authorship =
No credit, no reward
Previous effortsSocial rewarding techniquesAuthorship on non-MediaWiki-based systemsSemantic Web technologies
To increase community creation,AuthorReward was developed
Features contribution quantification and explicit authorship
Algorithms
AuthorReward is an extension to
MediaWiki
Wiki Page Collection of data on a specific subject Multiple researchers collaborate to edit
Contribution Score
- edit distance or Levenshtein distance
– scale factor
factors edit quality as well as edit quantity
Quality and Quantity
- Edit distance between and
- Whether the edit persists compared to the last version
We can express as
Thus, is not easily gamed
Score of researcher
- set of versions contributed by researcher r
Score - The sum over all contributed versions
Total contribution of researcher
- set of pges in which researcher provides edits
The sum of multiple contribution scores in all participated pages
Application
RiceWiki – sd1 genehttp://ricewiki.big.ac.cn/index.php/Os01g0883800
Conclusion
AuthorReward provides bio-wikis with an authorship metric, featuring robust
contribution quantification and automated explicit authorship.
AuthorReward can be used in combination withSemantic web technologiesSocial rewarding techniques
AuthorReward provides a standard practice to reward community-curated
efforts in bio-wikis and also other domain wikis.