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

1. semantics insocial networks an example of academic interest

2. = + + two biases.

3. sends poker invitation says hello changed status added a connection likes your slides hubbub 2.0 published a picture commented LOL

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

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

6. Fabien Michel social network analysis Guillaume Rémi Marco Nicolas Man creator type creator Person author Fabien doc.html type sub property sub class title Person author Man Semantic web is not antisocial semantic web graphs, graphs, graphs, …

7. 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]

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

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

10. Fabien Mylène Gérard knows colleague father sister (guillaume)=5 (guillaume)=3 guillaume d <family> colleague colleague mother Michel parent sibling Yvonne mother father brother sister c.f. [Erétéo et al.]

11. typed path extraction colleague 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-engine c.f. [Corby et al.]

14. 136 311 friend links implicating 17 441 actors

15. 339 428 favorite links for 61 425 actorsetc. e.g. different strategic actors depending on the link types c.f. [Erétéo et al.]

16. high centrality SemSNA Schema annotating the networks with their characteristics c.f. [Erétéo et al.]

17. flat folksonomies

18. 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]

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

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

21. SKOS & tags

22. MOAT [Passant, 2009]

23. VoCamp.org e.g. tag as named graphs c.f. [Limpens et al.] Nice, France Washington, DC Oxford, UK

24. c.f. [Limpens et al.]

25. c.f. [Limpens et al.]

26. c.f. [Limpens et al.]

27. c.f. [Limpens et al.]

28. c.f. [Limpens et al.]

29. c.f. [Limpens et al.]

30. c.f. [Limpens et al.]

31. c.f. [Limpens et al.]

32. social webs & intranets

33. enterprise social networking business intelligence, watching, monitoring communities of interest, of practice, of experts isicil.inria.fr

34. integrating with internal IT landscape c.f. [Delaforge et al.]

35. 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] …

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

37. take home messages

38. semantic social network analysis stack exploit the semantic of typed social graphs

39. linked open data as the underlying infrastructure [Berners-Lee, 2009]

40. accuracy typed networks + parameterized operators = more precise analysis

41. Aaron Nace © pros and cons of fragmented identities

42. owl:sameAs = Fabien Bafien owl:differentFrom ≠ MagicSemanticHagridHagrid

43. evolution extensible open models + declarative query language = more flexible framework

44. time in the models and in the analysis

45. security semiotics scale hypermnesia ... mobile

46. http://fabien.info see also slideshare Fabien.Gandon@sophia.inria.fr