Helping online communities enrich folksonomies
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Helping online communities enrich folksonomies

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This paper presents our approach to collaborative and semiautomated...

This paper presents our approach to collaborative and semiautomated
semantic structuring of folksonomies. Tags freely provided by users of online communities are not semantically
linked, and this hinders signi cantly the potentials for browsing and exploring these data. We propose a sociotechnical
system combining automatic handlings of tags, using state of the art algorithm, and user friendly interfaces designed after a careful analysis of the usage of our target
communities. Much like folksonomies, our socio-technical system lets each user maintain his own view while still bene
ting from others contributions. As a complement to similar approaches, our approach supports conflicting point of
views all along the life-cycle of semantically enriched folksonomies.

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Helping online communities enrich folksonomies Helping online communities enrich folksonomies Presentation Transcript

  • 1
    Helping online communities to semantically enrich folksonomies
    Freddy Limpens, Fabien Gandon
    Edelweiss, INRIA Sophia Antipolis
    {freddy.limpens,fabien.gandon}@inria.fr
    Michel Buffa
    Kewi, I3S, Université Nice-Sophia Antipolis
    Edelweiss
    WebScience 2010, Raleigh, NC, USA, 26-27 april 2010
  • 2
    Social tagging for bookmarking
    http://delicious.com
  • 3
    … and the resulting
    FOLKS - ONOMIES
  • 4
    Spelling variations of tags
    newyork = new_york = nyc
  • 5
    Amibiguity of tags
    .. in
    France ?
    … or in
    Texas ?
  • 6
    How to turn
    folksonomies ...
    ?
    Energy
    pollutant
    related
    related
    pollution
    ...into comprehensible
    topic structures ?
    has narrower
    Soil pollutions
  • 7
    … by collecting
    all user's
    expertise
    into the
    process
  • 8
    Our approach
    • Integrate usage-analysis for a tailored solution
    • Supporting diverging points of view
    • Automaticprocessings
    +
    • Human expertise through user-friendly interfaces
  • 9
    Concrete scenario
    Archivists
    centralize + tag
    Experts
    produce docs
    + tag
    Public audience
    read + tag
  • 10
    Supporting diverging points of view
    skos:related
    pollution
    car
  • 11
    Supporting diverging points of view
    skos:related
    pollution
    car
    disagrees
    agrees
    John
    Paul
  • 12
    Supporting diverging points of view
    tagSemanticStatement (named graph)
    skos:related
    pollution
    car
    hasApproved
    hasRejected
    Paul
    John
  • Folksonomy
    enrichment
    life-cycle
    Flat folksonomy
    User-centric
    structuring
    Automatic processing
    Detectconflicts
    ADDING TAGS
    Global
    structuring
    Structuredfolksonomy
  • 14
    pollution
    pollution
    pollution
    pollution
    pollution
    Soil pollutions
    pollution
    pollutant
    1. Comparing Tag labels with string edit distances
  • 15
    1. Comparing Tag labels with string edit distances
    • Evaluation of 30 edit distances
    • Combining the best metrics
    • Needs complement !
  • 16
    2. Analyzing the tri-partite structure of folksonomies
    Association via:
    • Users
    • tags
    Fig. Markines et al. (2009)
  • 17
    Result: automatically suggested semantics
    Environment
    related
    pollutant
    Energy
    related
    related
    pollution
    has narrower
    Soil pollutions
  • Folksonomy
    enrichment
    life-cycle
    Flat folksonomy
    User-centric
    structuring
    Automatic processing
    Detectconflicts
    ADDING TAGS
    Global
    structuring
    Structuredfolksonomy
  • 19
    Embedding structuring tasks within everyday activity (searching e.g)
  • 20
    Embedding structuring tasks within everyday activity (searching e.g)
  • 21
    Capturing user's point of view
  • Folksonomy
    enrichment
    life-cycle
    Flat folksonomy
    User-centric
    structuring
    Automatic processing
    Detectconflicts
    ADDING TAGS
    Global
    structuring
    Structuredfolksonomy
  • 23
    Conflict detection
    narrower
    pollution
    environment
    broader
  • 24
    Conflict detection
    narrower
    pollution
    environment
    broader
    Using rules e.g:
    IFnum(narrower)/num(broader) ≥ c
    THENnarrowerwins
    ELSE 'more generic' wins
  • 25
    Conflict detection
    narrower
    pollution
    environment
    related
    broader
    related
    more generic
    more generic
    narrower
    broader
  • Folksonomy
    enrichment
    life-cycle
    Flat folksonomy
    User-centric
    structuring
    Automatic processing
    Detectconflicts
    ADDING TAGS
    Global
    structuring
    Structuredfolksonomy
  • 27
    Global structuring by Referent
    related
    pollution
    environment
    hasApproved
    ReferentUser
  • Folksonomy
    enrichment
    life-cycle
    Flat folksonomy
    User-centric
    structuring
    Automatic processing
    Detectconflicts
    ADDING TAGS
    Global
    structuring
    Structuredfolksonomy
  • 29
    Take away message
    (conclusion)
  • 30
    Help communities
    structure their tags
    What we do :
  • 31
    Our contributions:
    • Usagesanalysis
    • Automatic processing of tags
    • Tag structuring embedded in every-day tools
    • Supporting multi-points of view
  • 32
    Implementation & tests
    • ADEME dataset (~10000 tags)
    • Tag server
    • Tag searching interface
  • 33
    Perspectives
    • More automaticmethods
    • More ontologicalresources
    • Other interfaces (tagging, global structuring)
    • Test + Evaluation @ Ademe & Orange Labs
  • 34
    Thank you !
    freddy.limpens@inria.fr
    http://www-sop.inria.fr/members/Freddy.Limpens/
    http://isicil.inria.fr