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foster
                                    query                            chats
          Leveraging                                     Web links             mails
 notify           monitor
                                                                 Social
                             profiles
                   data                                                        Web 2.0
            RDF                                                  forum
                                               SPARQL
        tags
                                    with            approximation
                  networks

                                             inference
rules
          Semantics
                                  RDFS
     OWL



                                        W3C Workshop on the Future of Social Networking
                                        15‐16 January 2009, Barcelona
                                        Fabien Gandon, INRIA,
sociograms and analysis
beetweenness centrality reveals brokers
    « A place for good ideas » [Burt 1992] [Burt 2004]




sociograms and analysis
W3C©
W3C©
W3C®
Fabien                 Michel



                  Guillaume             Rémi
Marco



        Nicolas

                                               social network analysis




                              graphs, graphs, graphs, …
Fabien                      Michel



                     Guillaume                  Rémi
  Marco



           Nicolas

                                                             social network analysis


  Man

type             author                                creator          Person
        Fabien                doc.html
                                                       sub property     sub class
                              title
                                                       author            Man
                    Semantic web is not antisocial

                                                                      semantic web



                                      graphs, graphs, graphs, …
Fabien                      Michel



                                                           d in ( p ) = {x ; rel ( x , p )}
                                                              °
                     Guillaume                      Rémi
  Marco
                               °
                            d in (Guillaume ) = 4
           Nicolas

                                                                  social network analysis


  Man

type             author                                     creator            Person
        Fabien                doc.html
                                                            sub property      sub class
                              title
                                                            author              Man
                    Semantic web is not antisocial

                                                                            semantic web



                                      graphs, graphs, graphs, …
Fabien                        Michel



                                                              d in ( p ) = {x ; rel ( x , p )}
                                                                 °
                      Guillaume                        Rémi
  Marco
                                  °
                               d in (Guillaume ) = 4
            Nicolas

                                                                     social network analysis


  Man
                     creator
type              author                                       creator            Person
         Fabien                  doc.html
 type                                                          sub property      sub class
                                 title
Person                                                         author              Man
                     Semantic web is not antisocial

                                                                               semantic web



                                         graphs, graphs, graphs, …
RDF
  graph




classic SNA on semantic web graphs
RDF
  graph


                        non‐typed graphs




classic SNA on semantic web graphs
[PhD Guillaume Erétéo]




                              Semantic Social Network Analysis

                                 SPARQL + Extensions

social data
                       Social Network Analysis Ontology 

                FOAF, RELATIONSHIP, SIOC,           Domain
               DC, SKOS, SCOT, DOAP, MOAT          Ontologies
              RDF/S, OWL          RDFa             GRDDL 

    Wrappers & web 2.0 APIs                  XML      µformats




leveraging the full semantic web stack
[PhD Guillaume Erétéo]




parameterized in‐degree
    o
d                       ( y)
    in <type,length >
ADD {                              [PhD Guillaume Erétéo]

  ?y semsna:hasInDegree _:b0
   _:b0 semsna:forProperty param[type]
   _:b0 rdf:value ?indegree
   _:b0 semsna:hasLength param[length]
}
SELECT ?y count(?x) as ?indegree {
  ?x $path ?y
  filter(match($path, star(param[type])))
  filter(pathLength($path)<= param[length])
} group by ?y

     parameterized in‐degree
         o
     d                       ( y)
         in <type,length >
[PhD Guillaume Erétéo]




long tail distribution of the betweenness centralities
                                                                       [Freeman, 1979]
50 000 projections on 2020 FOAF profiles extracted from flickr.com 
global


         semantic

          graphs
social
other graphs available too...
[PhD Freddy Limpens]


e.g. capture bookmarks and their tags




    co‐tags extracted from delicious for “ademe”
    6054 bookmarks, 16 users, 5153 tags, 5969 resources
#Freddy

hasBookmark
                                industry
              #bk81
                          hasLabel
              hasTag
                       #tag27




global giant graph
  linking users, actions, knowledge, companies, etc.
#tag92
                          hasLabel
                                            hasTag

                          industries                 #bk34

                                                 hasBookmark
   #Freddy
                                                             #Fabien
hasBookmark
                                industry
              #bk81
                          hasLabel
              hasTag
                       #tag27




global giant graph
  linking users, actions, knowledge, companies, etc.
#tag92
                          hasLabel
                                            hasTag

                          industries                 #bk34

                                                 hasBookmark
   #Freddy
                                                             #Fabien
hasBookmark
                                industry
              #bk81
                          hasLabel
              hasTag
                       #tag27




global giant graph
  linking users, actions, knowledge, companies, etc.
#tag92
                          hasLabel
                                            hasTag

                          industries                 #bk34

                                                 hasBookmark
   #Freddy
                                                             #Fabien
hasBookmark
                                industry
              #bk81
                          hasLabel
              hasTag
                       #tag27




global giant graph
  linking users, actions, knowledge, companies, etc.
link a
maximum
of graphs
closing
 messages
open issues
some bridges already exist...
   POWDER : information about web resource(s)
     without retrieving the resource(s)
some bridges already exist...
   POWDER : information about web resource(s)
     without retrieving the resource(s)

      Vocabularies : Device Description Vocabulary
      (MWI), Delivery Context Ontology (UWA),
      CC/PP Structure and Vocabularies
some bridges already exist...
   POWDER : information about web resource(s)
     without retrieving the resource(s)

      Vocabularies : Device Description Vocabulary
      (MWI), Delivery Context Ontology (UWA),
      CC/PP Structure and Vocabularies

    Semantic Web applications on mobiles:
    DBPedia Mobile, i‐MoCo (250 million triples),
    myCampus
ISICIL project
     social web applications and semantic web 
     frameworks for corporate applications.
     • enterprise social networking;
     • business intelligence, watching,  monitoring;
     • communities of interest, of practice;
     • web 2.0 & corporate processes integration;
     • trust, privacy, confidentiality.
http://www.slideshare.net


                             Person
 slidesOn
                                                   Fabien Gandon
                      type
                                                       name
        http://ns.inria.fr/fabien.gandon/foaf#me

identifies                             email

                    Fabien.Gandon@sophia.inria.fr

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Leveraging Social data with Semantics

  • 1. foster query chats Leveraging Web links mails notify monitor Social profiles data Web 2.0 RDF forum SPARQL tags with approximation networks inference rules Semantics RDFS OWL W3C Workshop on the Future of Social Networking 15‐16 January 2009, Barcelona Fabien Gandon, INRIA,
  • 3. beetweenness centrality reveals brokers « A place for good ideas » [Burt 1992] [Burt 2004] sociograms and analysis
  • 7. Fabien Michel Guillaume Rémi Marco Nicolas social network analysis graphs, graphs, graphs, …
  • 8. Fabien Michel Guillaume Rémi Marco Nicolas social network analysis Man type author creator Person Fabien doc.html sub property sub class title author Man Semantic web is not antisocial semantic web graphs, graphs, graphs, …
  • 9. Fabien Michel d in ( p ) = {x ; rel ( x , p )} ° Guillaume Rémi Marco ° d in (Guillaume ) = 4 Nicolas social network analysis Man type author creator Person Fabien doc.html sub property sub class title author Man Semantic web is not antisocial semantic web graphs, graphs, graphs, …
  • 10. Fabien Michel d in ( p ) = {x ; rel ( x , p )} ° Guillaume Rémi Marco ° d in (Guillaume ) = 4 Nicolas social network analysis Man creator type author creator Person Fabien doc.html type sub property sub class title Person author Man Semantic web is not antisocial semantic web graphs, graphs, graphs, …
  • 12. RDF graph non‐typed graphs classic SNA on semantic web graphs
  • 13. [PhD Guillaume Erétéo] Semantic Social Network Analysis SPARQL + Extensions social data Social Network Analysis Ontology  FOAF, RELATIONSHIP, SIOC,  Domain DC, SKOS, SCOT, DOAP, MOAT Ontologies RDF/S, OWL  RDFa  GRDDL  Wrappers & web 2.0 APIs XML µformats leveraging the full semantic web stack
  • 15. ADD { [PhD Guillaume Erétéo] ?y semsna:hasInDegree _:b0 _:b0 semsna:forProperty param[type] _:b0 rdf:value ?indegree _:b0 semsna:hasLength param[length] } SELECT ?y count(?x) as ?indegree { ?x $path ?y filter(match($path, star(param[type]))) filter(pathLength($path)<= param[length]) } group by ?y parameterized in‐degree o d ( y) in <type,length >
  • 16. [PhD Guillaume Erétéo] long tail distribution of the betweenness centralities [Freeman, 1979] 50 000 projections on 2020 FOAF profiles extracted from flickr.com 
  • 17. global semantic graphs social
  • 19. [PhD Freddy Limpens] e.g. capture bookmarks and their tags co‐tags extracted from delicious for “ademe” 6054 bookmarks, 16 users, 5153 tags, 5969 resources
  • 20. #Freddy hasBookmark industry #bk81 hasLabel hasTag #tag27 global giant graph linking users, actions, knowledge, companies, etc.
  • 21. #tag92 hasLabel hasTag industries #bk34 hasBookmark #Freddy #Fabien hasBookmark industry #bk81 hasLabel hasTag #tag27 global giant graph linking users, actions, knowledge, companies, etc.
  • 22. #tag92 hasLabel hasTag industries #bk34 hasBookmark #Freddy #Fabien hasBookmark industry #bk81 hasLabel hasTag #tag27 global giant graph linking users, actions, knowledge, companies, etc.
  • 23. #tag92 hasLabel hasTag industries #bk34 hasBookmark #Freddy #Fabien hasBookmark industry #bk81 hasLabel hasTag #tag27 global giant graph linking users, actions, knowledge, companies, etc.
  • 27.
  • 28.
  • 29. some bridges already exist... POWDER : information about web resource(s) without retrieving the resource(s)
  • 30. some bridges already exist... POWDER : information about web resource(s) without retrieving the resource(s) Vocabularies : Device Description Vocabulary (MWI), Delivery Context Ontology (UWA), CC/PP Structure and Vocabularies
  • 31. some bridges already exist... POWDER : information about web resource(s) without retrieving the resource(s) Vocabularies : Device Description Vocabulary (MWI), Delivery Context Ontology (UWA), CC/PP Structure and Vocabularies Semantic Web applications on mobiles: DBPedia Mobile, i‐MoCo (250 million triples), myCampus
  • 32. ISICIL project social web applications and semantic web  frameworks for corporate applications. • enterprise social networking; • business intelligence, watching,  monitoring; • communities of interest, of practice; • web 2.0 & corporate processes integration; • trust, privacy, confidentiality.
  • 33. http://www.slideshare.net Person slidesOn Fabien Gandon type name http://ns.inria.fr/fabien.gandon/foaf#me identifies email Fabien.Gandon@sophia.inria.fr

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