Leveraging Social data with Semantics

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Leveraging Social data with Semantics W3C Workshop on the Future of Social Networking 15-16 January 2009, Barcelona Fabien Gandon, INRIA RDF RDFS OWL rules networks profiles tags forum mails Web 2.0 inference approximation query notify monitor foster SPARQL Web links chats

description

foster. query. chats. Web links. mails. notify. monitor. profiles. RDF. Web 2.0. forum. Leveraging Social data with Semantics. SPARQL. tags. approximation. networks. inference. rules. - PowerPoint PPT Presentation

Transcript of Leveraging Social data with Semantics

Page 1: 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

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

sociograms and analysis

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W3C

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W3C

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W3C®

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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

),(;)( pxrelxpdin

4)( Guillaumedin

creator

Person

type

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classic SNA on semantic web graphs

RDFgraph

non-typed graphs

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leveraging the full semantic web stack

SPARQL + Extensions

Social Network Analysis Ontology

FOAF, RELATIONSHIP, SIOC,

DC, SKOS, SCOT, DOAP, MOATDomain

Ontologies

RDF/S, OWL GRDDL RDFa

µformatsXMLWrappers & web 2.0 APIs

social data

Semantic Social Network Analysis

[PhD Guillaume Erétéo]

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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

Broker!parameterized in-degree

)(d olengthtype, yin

[PhD Guillaume Erétéo]

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

[PhD Guillaume Erétéo]

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social

semantic

graphs

global

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other graphs available too...

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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]

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

#Freddy

#bk81hasBookmark

hasTag#tag27

industry

hasLabel

#Fabien

#bk34

#tag92

industries

hasBookmark

hasLabel hasTag

shareInterest

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link amaximumof graphs

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closingmessages

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open issues

scale security

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open yourmobile web

openyour data

mobileweb ok

+ =

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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 phones: DBPedia Mobile, i-MoCo (250 million triples)

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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.

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http://www.slideshare.net

Fabien Gandon

[email protected]

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

Person

typename

email

slidesOn

identifies