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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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semantics insocial networksan example of academic interest
+ + =two biases.
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beetweenness centrality reveals brokers« A place for good ideas » [Burt 1992] [Burt 2004]
sociograms and analysis
multiple roles,profiles, contexts, etc.
one graph structure doesn’t fit all.
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
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]
describe persons http://xmlns.com/foaf/0.1/[Brickley & Miller 2004]
http://vocab.org/relationship/type relations[Davis & Vitiello, 2004]
parentsibling
motherfatherbrothersister
colleague
knowsGérard
FabienMylène
MichelYvonne
father
sister
mother
colleague
colleague
<family> (guillaume)=5d(guillaume)=3guillaume
c.f. [Erétéo et al.]
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.]
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.]
SemSNA Schemaannotating the networks with their characteristics
high centrality
c.f. [Erétéo et al.]
flat folksonomies
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]
semantically-interlinked online communities
[Breslin et al., 2005]
[Newman et al., 2005][Kim et al., 2007]
Tag Ontology& SCOT
SKOS & tags
MOAT[Passant, 2009]
VoCamp.orge.g. tag as named graphs
Washington, DC
Nice, France
Oxford, 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.]
c.f. [Limpens et al.]
social webs & intranets
isicil.inria.fr
• enterprise social networking• business intelligence, watching, monitoring• communities of interest, of practice, of experts
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]
= more precise analysis
typed networks+ parameterized operators
accuracy
fragmented identitiespros and cons of
Aaron Nace ©
owl:sameAs
Fabien Bafien
=
owl:differentFrom
Magic SemanticHagrid Hagrid
≠
= more flexible framework
extensible open models+ declarative query language
evolution
timein the models and in the analysis
scale
security
...
semioticshypermnesia
mobile
