semantics in social networks

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semantics in social networks an example of academic interest

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An example of academic interest in using semantic web frameworks in the social web. Slides for the W3C Technical Plenary Day, Santa Clara, 2009.

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Page 1: semantics in social networks

semantics insocial networksan example of academic interest

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+ + =two biases.

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hubbub 2.0

changed status

published a picture

added a connection

commented

says hello

LOL

sends poker invitation

likes your slides

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

sociograms and analysis

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multiple roles,profiles, contexts, etc.

one graph structure doesn’t fit all.

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FabienFabiencreatorcreator

authorauthor

ManMan

typedoc.htmldoc.html

author

Semantic web is not antisocialSemantic web is not antisocial

PersonPerson

ManMan

sub property sub class

semantic web

title

graphs, graphs, graphs, …

FabienFabien

MarcoMarco GuillaumeGuillaume

NicolasNicolas

MichelMichel

RémiRémi

social network analysis

),(;)( pxrelxpdin

4)( Guillaumedin

creator

PersonPerson

type

Page 7: semantics in social networks

SW&SN some contributions…propagating trust [Goldbeck et al. 2003]

structural characteristics [Finin et 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]

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

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

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parentsibling

motherfatherbrothersister

colleague

knowsGérard

FabienMylène

MichelYvonne

father

sister

mother

colleague

colleague

<family> (guillaume)=5d(guillaume)=3guillaume

c.f. [Erétéo et al.]

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typed path extractioncolleague of, colleague of, (...) the manager of someone

select ?from ?to{ ?from (rel:worksWith*/rel:manages)::$path ?to filter(pathLength($path) <= 6)} group by ?from

http://tinyurl.com/corese-enginec.f. [Corby et al.]

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ipernity.com dataset in RDF61 937 actors & 494 510 relationships–18 771 family links between 8 047 actors–136 311 friend links implicating 17 441 actors –339 428 favorite links for 61 425 actorsetc.

e.g. different strategic actors depending on the link types

c.f. [Erétéo et al.]

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SemSNA Schemaannotating the networks with their characteristics

high centrality

c.f. [Erétéo et al.]

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flat folksonomies

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SW&Tags some contributions…manual structuring[Tanasescu et al., 2007] [Huynh-Kim Bang et al. , 2008]

(semi-) automatic structuring[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]

using external resources[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]

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semantically-interlinked online communities

[Breslin et al., 2005]

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[Newman et al., 2005][Kim et al., 2007]

Tag Ontology& SCOT

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SKOS & tags

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MOAT[Passant, 2009]

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VoCamp.orge.g. tag as named graphs

Washington, DC

Nice, France

Oxford, UK

c.f. [Limpens et al.]

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c.f. [Limpens et al.]

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c.f. [Limpens et al.]

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c.f. [Limpens et al.]

Page 25: semantics in social networks

c.f. [Limpens et al.]

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c.f. [Limpens et al.]

Page 27: semantics in social networks

c.f. [Limpens et al.]

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c.f. [Limpens et al.]

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c.f. [Limpens et al.]

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social webs & intranets

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isicil.inria.fr

• enterprise social networking• business intelligence, watching, monitoring• communities of interest, of practice, of experts

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

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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]

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

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take homemessages

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semantic social network analysis stackexploit the semantic of typed social graphs

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

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= more precise analysis

typed networks+ parameterized operators

accuracy

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fragmented identitiespros and cons of

Aaron Nace ©

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owl:sameAs

Fabien Bafien

=

owl:differentFrom

Magic SemanticHagrid Hagrid

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= more flexible framework

extensible open models+ declarative query language

evolution

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timein the models and in the analysis

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scale

security

...

semioticshypermnesia

mobile

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http://fabien.infosee also slideshare

[email protected]