semantics insocial networksan example of academic interest

=++two biases.

sends poker invitationsays hellochanged statusadded a connectionlikes your slideshubbub 2.0published a picturecommentedLOL

beetweenness centrality reveals brokers« A place for good ideas » [Burt 1992] [Burt 2004]sociograms andanalysis

multiple roles,profiles, contexts, etc.one graph structure doesn’t fit all.

FabienMichelsocial network analysisGuillaumeRémiMarcoNicolasMancreatortypecreatorPersonauthorFabiendoc.htmltypesub propertysub classtitlePersonauthorManSemantic web is not antisocialsemantic webgraphs, graphs, graphs, …

SW&SN some contributions…propagating trust [Goldbeck et al. 2003]structural characteristics [Fininet al. 2005]applying classic SNA [Paolillo et al. 2006]merging profiles [Goldbeck &Rothstein 2008]extending SPARQL [Corby et al 2004] [Anyanwuet al. 2007] [Kochut et al 2007] [Baget et al, 2007] [Corby 2008]

describe persons http://xmlns.com/foaf/0.1/[Brickley & Miller 2004]

http://vocab.org/relationship/type relations[Davis & Vitiello, 2004]

FabienMylèneGérardknowscolleaguefathersister(guillaume)=5(guillaume)=3guillaumed<family>colleaguecolleaguemotherMichelparentsiblingYvonnemotherfatherbrothersisterc.f. [Erétéo et al.]

typed path extractioncolleague of, colleague of, (...) the manager of someoneselect ?from ?to{ ?from (rel:worksWith*/rel:manages)::$path ?to filter(pathLength($path) <= 6)} group by ?fromhttp://tinyurl.com/corese-enginec.f. [Corby et al.]

ipernity.com dataset in RDF61 937 actors & 494 510 relationships18 771 family links between 8 047 actors136 311 friend links implicating 17 441 actors 339 428 favorite links for 61 425 actorsetc. e.g. different strategic actors depending on the link typesc.f. [Erétéo et al.]

18 771 family links between 8 047 actors

136 311 friend links implicating 17 441 actors

339 428 favorite links for 61 425 actors

high centralitySemSNA Schemaannotating the networks with their characteristicsc.f. [Erétéo et al.]

flat folksonomies

SW&Tags some contributions…manual structuring[Tanasescu et al., 2007] [Huynh-Kim Bang et al. , 2008](semi-) automaticstructuring[Mika, 2005][Heymann et al., 2006] [Schmitz, 2006][Halpin et al., 2007-2009] [Cattuto et al., 2008] [Markines et al., 2009][Specia et al., 2007] [Begelman et al., 2006]usingexternalresources[Good et al., 2007] [Passant et al., 2007] [Specia et al., 2007][Cattuto et al., 2008][Giannakidou et al., 2008][Ronzano et al., 2008] [Tesconi et al., 2008]schemas for interoperability[Gruber, 2005] [Newman et al., 2005] [Breslin et al., 2005][Kim et al., 2007][Passant et al., 2008]

semantically-interlinked online communities[Breslin et al., 2005]

Tag Ontology& SCOT[Newman et al., 2005][Kim et al., 2007]

SKOS & tags

MOAT[Passant, 2009]

VoCamp.orge.g. tag as named graphsc.f. [Limpens et al.]Nice, FranceWashington, DCOxford, UK

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

social webs & intranets

enterprise social networking business intelligence, watching, monitoring communities of interest, of practice, of expertsisicil.inria.fr

integrating with internal IT landscapec.f. [Delaforge et al.]

application contributions…security and access controlFOAF+SSL [Story, 2008]trust based service composition[Kuter& Golbeck, 2009] policy aware content reuse[Seneviratne et al., 2009]social enrichment and ranking[Choudhury et al., 2009]context & augmented interactions Live Social Semantics [Alani et al. 2008]identity management[Matthew Rowe, 2009]interlinked social sitesDrupal [Corlosquet et al., 2009]…

many other topics…social journalism, social enterprise, social data governance, social healthcare, open social, security and privacy, provenance & trust, etc.

take homemessages

semantic social network analysis stackexploit the semantic of typed social graphs

linked open dataas the underlying infrastructure[Berners-Lee, 2009]

accuracytyped networks+ parameterized operators= more precise analysis

Aaron Nace ©pros and cons offragmented identities

owl:sameAs=Fabien Bafienowl:differentFrom≠MagicSemanticHagridHagrid

evolutionextensible open models+ declarative query language= more flexible framework

timein the models and in the analysis

securitysemioticsscalehypermnesia...mobile

http://fabien.infosee also slideshareFabien.Gandon@sophia.inria.fr