Onto Folkso StofA FLimpens

Table des matières

1. 1. 1.  Introduction
   1. 1.1. a)    Freely categorizing
   2. 1.2. b)     The need for a shared vocabulary: tidying up online communities
   3. 1.3. c)     Comparison of different types of knowledge representations used to index resources
   4. 1.4. d)    Different ways of considering the link between folksonomies and ontologies
   5. 1.5. e)    Organization of the report
2. 2. 2.  Nature and structure of Folksonomies
   1. 2.1. f)      Folksonomies as collaborative classification means
   2. 2.2. g)    Formal definition
   3. 2.3. h)    Structure and dynamics of social tagging
   4. 2.4. i)       Looking for common associations in folksonomies
   5. 2.5. j)       Comparison and intermediary conclusions
3. 3. 3.Extracting the semantics of folksonomies
   1. 3.1. k)    Measuring the relatedness between tags
      1. 3.1.1. 3.1.1  Simple cooccurrence counting
      2. 3.1.2. 3.1.2 Projection of the tripartite structure of folksonomies
      3. 3.1.3. 3.1.3  FolkRank based measure of similarity
      4. 3.1.4. 3.1.4 Distributional aggregation and cosine distance
      5. 3.1.5. 3.1.5  Mutual information measure and framework for evaluating similarity measures within folksonomies
      6. 3.1.6. 3.1.6 Grounding the relatedness of tags using a generic hierarchy of concepts (Wordnet)
   2. 3.2. l)       Inferring subsumption relations
   3. 3.3. m)Clustering tags
      1. 3.3.1. 3.3.1  Finding equivalent tags
      2. 3.3.2. 3.3.2 Clustering of similar tags
   4. 3.4. n)    Comparison of the approaches and intermediary conclusions
4. 4. 4. Semantically enriching folksonomies
   1. 4.1. o)    Collaborative semantic structuring of folksonomies
   2. 4.2. p)    Ontologies for modeling folksonomies and online-communities
   3. 4.3. q)      Infrastructure for linking tags with ontologies
   4. 4.4. r)      Linking tags with professional vocabularies
   5. 4.5. s)     Assisting semantic enrichment of tagging
      1. 4.5.1. 4.5.1  Clustering and mappings with online semantic resources
      2. 4.5.2. 4.5.2 Building a general domain set of semantic tags
      3. 4.5.3. 4.5.3 Comparison of both methods
   6. 4.6. t)      Tagging and collaborative ontology maturing processes
   7. 4.7. u)    Comparison and intermediary conclusions
5. 5. 5. Knowledge sharing in the social and semantic Web
   1. 5.1. v)       Collaborative information and experts seeking
   2. 5.2. w)  Sharing on the semantic Web
   3. 5.3. x)     Semantic Wikis
   4. 5.4. y)     Comparison and intermediary conclusions
6. 6. 6. Discussion
   1. 6.1. z)     The best of both worlds
   2. 6.2. aa)                        Adapting the models and tools to the usages
   3. 6.3. bb)                        Perspectives
7. 7. 7.Endnotes:
8. 8. 8.References