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Helping online communities to semantically enrich folksonomies
WebScience 2010, Raleigh, NC, USA, 26-27 april 2010
Freddy Limpens, Fabien Gandon Edelweiss, INRIA Sophia Antipolis
{freddy.limpens, fabien.gandon}@inria.fr
Michel BuffaKewi, I3S, Université Nice-Sophia Antipolis
Edelweiss
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Social tagging for bookmarking
http://delicious.com
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… and the resulting
FOLKS - ONOMIES
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newyork = new_york = nyc
Spelling variations of tags
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Amibiguity of tags
… or in Texas ?
.. inFrance ?
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How to turn folksonomies ...
...into comprehensible topic structures ?
?
pollution
Soil pollutions
has narrower
pollutant Energy
related related
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… by collectingall user's expertiseinto the process
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Our approach
Integrate usage-analysis for a tailored solution
Supporting diverging points of view
Automatic processings
+
Human expertise through user-friendly interfaces
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Concrete scenario
Expertsproduce docs
+ tag
Archivistscentralize + tag
Public audienceread + tag
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Supporting diverging points of view
car pollutionskos:related
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car pollutionskos:related
John Paul
Supporting diverging points of view
agrees disagrees
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car pollutionskos:related
John Paul
Supporting diverging points of view
hasApproved hasRejected
tagSemanticStatement (named graph)
ADDING TAGS
Automatic processing
User-centricstructuring
Detect conflicts
Globalstructuring
Flat folksonomy
Structured folksonomy
Folksonomy enrichment
life-cycle
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pollution
pollutantpollution
pollutionpollutionpollutionpollution Soil pollutions
1. Comparing Tag labels with string edit distances
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Evaluation of 30 edit distances
Combining the best metrics
Needs complement !
1. Comparing Tag labels with string edit distances
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Fig. Markines et al. (2009)
Association via:
Users
tags
2. Analyzing the tri-partite structure of folksonomies
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pollution
Soil pollutions
has narrower
pollutant
Environment
Energy
related related
related
Result: automatically suggested semantics
ADDING TAGS
Automatic processing
User-centricstructuring
Detect conflicts
Globalstructuring
Flat folksonomy
Structured folksonomy
Folksonomy enrichment
life-cycle
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Embedding structuring tasks within everyday activity (searching e.g)
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Embedding structuring tasks within everyday activity (searching e.g)
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Capturing user's point of view
ADDING TAGS
Automatic processing
User-centricstructuring
Detect conflicts
Globalstructuring
Flat folksonomy
Structured folksonomy
Folksonomy enrichment
life-cycle
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Conflict detection
environment pollution
narrower
broader
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Conflict detection
environment pollution
narrower
broader
Using rules e.g:
IF num(narrower)/num(broader) ≥ cTHEN narrower winsELSE 'more generic' wins
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Conflict detection
environment pollution
narrower
broader
related
related
broader narrower
more generic more generic
ADDING TAGS
Automatic processing
User-centricstructuring
Detect conflicts
Globalstructuring
Flat folksonomy
Structured folksonomy
Folksonomy enrichment
life-cycle
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environment pollutionrelated
ReferentUser
Global structuring by Referent
hasApproved
ADDING TAGS
Automatic processing
User-centricstructuring
Detect conflicts
Globalstructuring
Flat folksonomy
Structured folksonomy
Folksonomy enrichment
life-cycle
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Take away message (conclusion)
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Help communities
structure their tags
What we do :
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Our contributions:
Usages analysis
Automatic processing of tags
Tag structuring embedded in every-day tools
Supporting multi-points of view
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Implementation & tests
• ADEME dataset (~10000 tags)
• Tag server
• Tag searching interface
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Perspectives
• More automatic methods
• More ontological resources
• Other interfaces (tagging, global structuring)
• Test + Evaluation @ Ademe & Orange Labs
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Thank you !
http://www-sop.inria.fr/members/Freddy.Limpens/
http://isicil.inria.fr
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