Leveraging social data with semantics

LeveragingSocial

datawith

Semantics

W3C Workshop on the Future of Social Networking15‐16 January 2009, BarcelonaFabien Gandon, INRIA,

RDF

RDFSOWL

rules

networks

profiles

tagsforum

mails

Web 2.0

inference

approximation

query

notify monitor

foster

SPARQL

Web linkschats

Windows XP

Typewriter

Sieu thi dien may Viet Long - www.vietlongplaza.com.vn

sociograms and analysis

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

sociograms and analysis

graphs, graphs, graphs, …

Fabien

Marco Guillaume

Nicolas

Michel

Rémi

social network analysis

Fabiencreator

author

Man

typedoc.html

author

Semantic web is not antisocial

Person

Man

sub property sub class

semantic web

title


Fabien

Marco Guillaume

Nicolas

Michel

Rémi


Fabiencreator

author

Man

typedoc.html

author


Person

Man


semantic web

title


Fabien

Marco Guillaume

Nicolas

Michel

Rémi


{ }),(;)( pxrelxpdin =°

4)( =° Guillaumedin

Fabiencreator

author

Man

typedoc.html

author


Person

Man


semantic web

title


Fabien

Marco Guillaume

Nicolas

Michel

Rémi


{ }),(;)( pxrelxpdin =°

4)( =° Guillaumedin

creator

Person

type

classic SNA on semantic web graphs

RDFgraph

classic SNA on semantic web graphs

RDFgraph

non‐typed graphs

leveraging the full semantic web stack

SPARQL + Extensions

Social Network Analysis Ontology

FOAF, RELATIONSHIP, SIOC,

DC, SKOS, SCOT, DOAP, MOAT

Domain

Ontologies

RDF/S, OWL GRDDL RDFa

µformatsXMLWrappers & web 2.0 APIs

social data

Semantic Social Network Analysis

[PhD Guillaume Erétéo]

parameterized in‐degree

)(dolengthtype, yin ><


ADD {?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 $path ?yfilter(match($path, star(param[type])))filter(pathLength($path)<= param[length])

} group by ?y

parameterized in‐degree

)(dolengthtype, yin ><


long tail distribution of the betweenness centralities50 000 projections on 2020 FOAF profiles extracted from flickr.com [Freeman, 1979]


social

semantic

graphs

global

other graphs available too...

e.g. capture bookmarks and their tags

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

[PhD Freddy Limpens]

global giant graphlinking users, actions, knowledge, companies, etc.

#Freddy

#bk81hasBookmark

hasTag

#tag27

industry

hasLabel

global giant graphlinking users, actions, knowledge, companies, etc.

#Freddy

#bk81hasBookmark

hasTag

#tag27

industry

hasLabel

#Fabien

#bk34

#tag92

industries

hasBookmark

hasLabelhasTag

link amaximumof graphs

closingmessages

open issues

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



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 projectsocial 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

Fabien Gandon

[email protected]

http://ns.inria.fr/fabien.gandon/foaf#me

Person

typename

email

slidesOn

identifies

Leveraging social data with semantics

Business

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