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Social Tagging Networks (STN) Leveraging context and social networks

Social Tagging Networks (STN) Leveraging context and social networks. Johann STAN 1,2, Sonia LAJMI 3, PR. Pierre MARET 1, DR. Elod EGYED-ZSIGMOND 3 (PHD Candidate , 1st Year) 1 Alcatel-Lucent Bell Labs France – johann.stan@alcatel-lucent.com

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Social Tagging Networks (STN) Leveraging context and social networks

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  1. Social Tagging Networks (STN)Leveraging context and social networks Johann STAN1,2, Sonia LAJMI3,PR.Pierre MARET1, DR.Elod EGYED-ZSIGMOND3 (PHD Candidate, 1st Year) 1Alcatel-Lucent Bell Labs France – johann.stan@alcatel-lucent.com 2Laboratoire Hubert-Curien, Université de Lyon, Saint-Etienne – pierre.maret@univ-st-etienne.fr 3LIRIS CNRS Insa de Lyon, Université de Lyon elod.egyed-sigmond@insa-lyon.fr

  2. Motivations • There is a need to share photos and to retrieve them • Photo album creation • Selection of photos according to a given criteria • A photo with a name like DSC_0032.jpg is very difficult to retrieve • Efficient photo tagging is the main ground for retrieval and sharing • Facebook 10 million photos • Flickr 2 billion photos and 54 million users

  3. Motivations • People take more and more photos with mobile devices • Mobile devices have a lot of sensors • Location, network, accelerometer, … • A photo is a meta-data for an event (and not THE event) • A trip in a foreign country, a party, a wedding, a dinner, a conference, ….

  4. State of the ArtThe use of semantics in Tagging Models

  5. Definition of main concepts • Tagging Models • Structured according to description schemas • Completely free • Between the two • Tagging Activity • Automatic (GEO – Twitter) • Semi-automatic (MobileSocialNetwork) • Manual • Assistance in tagging • Keyword recommendation • Similar photo recommendation • Description schema recommendation

  6. GEO-Twitter • Twitter updates are tagged with • #GEO: location • #Social: your social environment • The corresponding template is : Number of Bluetooth peers Cell Tower Identifier hasValue Automatic Tags hasValue Social environment Location hasTagType hasTagType isTemplate Ressource Twitter status message isA Template[i]

  7. GEO-Twitter implementation • Create local communities • Location-related information • What is going on in in my neighborhood?

  8. Tagging Model for Social Interactions Automatic Tags Manual Tags • Interactions by phone are tagged with: • #GEO: location • #Social: your social environment • #Social Category of the correspondent • #Subject / Event in the conversation • #Emotional state of the correspondent isA Template[j] isTemplate Event Subject Social Category hasTagType Emotional State hasTagType hasTagType Social Environment hasTagType hasTagType Location hasTagType Interaction

  9. Social Interaction Analysis Guide the user to explicitly specify the content, context and/or quality of an interaction. 10 | Social Communications | October 2008

  10. The role of context in semantic tagging • Related Work deals wih 2 types of context: • The context of the photo taking moment • PhotoMap, ZoneTag, MMM Image Gallery • The context of tagging • M. Naaman et coll. 2005 • B. Shevade, H. Sundaram 2007 • B. Elliott et Z.M. Özsoyoglu2008

  11. Towards Semantic Tagging Models SCOT (Social Semantic Cloud of Tags) [4] • Describes the structure and semantics of tagging data, enables social interoperability of tagging data among heterogeneous sources • A combination of SCOT, FOAF and Dublin Core to describe tagging activity

  12. Towards Semantic Tagging Models MOAT (Meaning of a Tag) MOAT (Meaning of a Tag) (2008, [5]) • Meaning of a Tag depends on context • Introduction of the social aspects of tagging (community, sharing, …)

  13. Conclusion of Semantic Tagging Models • The need for a semantic layer has been clearly identified (similar trend in user modeling community) • Several attemps to federate tag ontologies • Emerging concepts in tagging models • The role of context • Social networking and collaborative aspects • The issue of how to guide the user in tagging activity • User will not tag unless the system immediatly shows a pertinent concept, question…(the user must feel the immediate benefit of tagging) • What are the most pertinent concepts to tag according to my context? • How can i leverage my social network to increase tagging experience? • User Interface Challenge (very important)

  14. Better and richer annotation of persons on a pictureWork with Sonia LAJMI

  15. Scenario • 25/10/2007: Carole’s birthday • She invites collegues and close friends to a night club • Bernart takes a photo of the event • Marco meets Carole and asks Bernart to share the photo with him • The photo is also sent to Alice, Amélie and Carol

  16. Alice Amélie Carole What: ? Who: ? When: 25/12/2007 Where: ? What: Carole’s birthday Who/relation: Carole dance With Alice Amélie dances with Boris Activity: Dance Hip Hop Where: Nightclub Berlin What: Christmas evening Where/relation: Beautiful girls dance Activité: dance Hip Hop Où: Nightclub Berlin Witnesses Amis de Alice What: party Where/relation: Alice dances with a girl Activity: dance Where: public place Carole’s friends Amelie’s friends What: Carole’s friends Where/relation: Carole dances with Alice Activity: dance Where: public place

  17. Photo Interpret Geographic Information Infer social relationships Publication Comment1: y r endow majdouline Comment2: kiss Comment3: Publication Personalized tagging Infer appropriate tags WS User Feedback User Context Knowledge Geographic Information ConceptNet User Calendar Social Networks Services Web Tagger

  18. Social Relationship Inference Galery Scene night club party dc:identifier ‘http://www... ‘ dc:type ‘Bernart’ ‘Image ‘ foaf:name dc:author ‘Bernart’ foaf:Person foaf:phone displayedBy ‘0049636310166’ foaf:Person foaf:Person ref: knowsInPassing foaf:Person hasRole foaf:phone foaf:Person foaf:phone foaf:name ‘photograph’ foaf:phone ‘0049621110100’ ‘0049636310166’ ‘0033628310142’ foaf:name post ‘Marco’ ‘Carole’ ‘y r endow Carole’ Marco

  19. Extension of FOAF profiles for social relationship categories

  20. Extension of FOAF profiles for social networking Event: Conference Meeting Picture with collegues from different countries • Social relationships differ according to the role of the person (witness, tagger, actor, viewer…)

  21. Heuristics to increase search in the FOAF network • Association of context and social network categories • When at Work, the most probable SNC is the « Professional » • When at Home, the most probable SNC is the « Home » • ….

  22. Conclusion • Overview of the application of semantic technologies in tagging • There is a need to leverage context and social networks to improve the tagging experience • There is a need to provide a mechanism that guides the user in the tagging activity (tagging templates or schemas) • The integration of social network, semantics and content annotation has the potential to revolutionize web interaction • This leads towards decentralized, but strongly interconnected communities

  23. Key References • [1] G. Thomas, “Ontology of folksonomy: A mashup of apples and oranges,” Intl Journal on Semantic Web and Information Systems, 2007. • [2] N. Richard , “Tag Ontology,” http://holygoat.co.uk/owl/redwood/0.1/tags, 2005. • [3] J.G. Breslin and U. Bojars: “sioc-project.org | Semantically-Interlinked Online Communities.” • [4] Hak Lae Kim, J. Breslin, S.K. Yang, H.G. Kim: Social Semantic Cloud of Tag: Semantic Model for Social Tagging. KES-AMSTA: 83-92 • [5] Alexandre Passant, Philippe Laublet: Combining Structure and Semantics for Ontology-Based Corporate Wikis. BIS 2008: 58-69 • [6] Jacques Calmet, Pierre Maret, Régine Endsuleit: Agent Oriented Abstraction. • Royal Academy of Sciences Journal. Special Issue on Symbolic Computation in Logic and Artificial Intelligence. Vol.98 (1-2). pp.77-84. 2004

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