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Interlinking semantics, web2.0, and the real-world


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Invited talk at APRESW Workshop, Extended Semantic Web Conference, Crete, 2010

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Interlinking semantics, web2.0, and the real-world

  1. 1. Interlinking semantics, web2.0, and the real-world<br />HarithAlani<br />Knowledge Media institute, OU <br />APRESW Workshop, Extended Semantic Web Conference, Crete, 2010<br />
  2. 2. Learning about YOU!<br />Sites learn about what you like from your browsing/purchasing history<br />Cold start problem<br />New user<br />New site<br />New product, product range<br />Sparse knowledge<br />Limited to interactions within the site<br />Can’t learn if you are using other sites<br />No to Spyware!<br />Tools that sit inside computers and monitor browsing behaviour and content<br />Much research went into that direction for building RSs<br />Pain to control what they should/shouldn’t access and when<br />2<br />
  3. 3. New info sources for recommendation systems<br />Micro publishing<br />blogging<br />tweeting<br />updating status<br />messaging<br />Posting<br />3<br />publishing<br /><ul><li>Sharing
  4. 4. wish for others to see what we publish
  5. 5. know which groups we are in
  6. 6. what we like
  7. 7. where we’re going</li></ul>networking<br />sharing<br /><ul><li>Online networking
  8. 8. Becoming part of an online community
  9. 9. Connecting with friends, colleagues, family
  10. 10. Participating in groups and discussions</li></li></ul><li>Can you tell what my interests are?<br />4<br />
  11. 11. Facebook’s Open Graph<br />Collects “like” information from anywhere about anything!<br />“Based on the structured data you provide via the Open Graph protocol, your pages show up richly across Facebook: in user profiles, within search results and in News Feed.”<br />5<br />
  12. 12. Personal interests and the social web<br />WHAT YOU LIKE<br />WHOM YOU KNOW<br />6<br />
  13. 13. What about the semantics?<br />7<br />
  14. 14. Un-Semantic Recommender Systems<br />8<br />Collaborative filtering is scalable, relatively cheap, and requires little background knowledge<br />But can semantics help improve recommendation accuracy? Could it be cost effective? <br />
  15. 15. Semantics from Linked Open Data Cloud<br />2007<br />millions of objects<br />Billions of triples<br />9<br />
  16. 16. DBpedia – a Linked Data hub <br />10<br />Status: No Relation found<br />
  17. 17. 11<br />Social content<br />Recommender Systems<br />Social networks<br />Semantic web<br />YES … BUT!!<br />
  18. 18. Challenges<br />Tag ambiguity, misspellings, redundancy<br />No semantic structure<br />Distributed and disintegrated personal tag clouds <br />Disconnected social network islands<br />Limited accessibility to data on SNSs<br />12<br />publishing<br />networking<br />sharing<br />Live Social Semantics platform aims at solving these problems!<br />
  19. 19. Social+Semantics+RFID: Live Social Semantics<br />Integration of physical presence and online information<br />Semantic user profile generation<br />Interest identification from distributed tagging activities <br />Large-scale, real-world social gatherings<br />Logging of face-to-face contact<br />Social network browsing<br />On-site and post-event support for social networking<br />13<br />
  20. 20. Making Sense of Folksonomies<br />Semantic User Profiles<br />FOAF<br />DBpedia + Wordnet<br />Identity Integration<br />Tag Integration<br />Delicious<br /><br />Flickr<br />Facebook<br />…<br />
  21. 21. Live Social Semantics: architecture<br />15<br />
  22. 22. Live Social Semantics: architecture<br />16<br />
  23. 23. From social to semantics<br />Cleaning up the tag <br />Associating tags with semantics<br />Integrating tagging information<br />Collecting and merging social networks<br />17<br />
  24. 24. From social to semantics<br />Cleaning up the tag <br />Associating tags with semantics<br />Integrating tagging information<br />Collecting and merging social networks<br />18<br />
  25. 25. Tag Filtering Service<br />Semantic modeling<br />Semantic analysis<br />Collective intelligence<br />Statistical analysis<br />Syntactical analysis<br />
  26. 26. Tag Filtering Service<br /><br />
  27. 27. From social to semantics<br />Cleaning up the tag <br />Associating tags with semantics<br />Integrating tagging information<br />Collecting and merging social networks<br />21<br />
  28. 28. From Tags to Semantics<br />22<br />
  29. 29. Tag Disambiguation<br />Term vector similarity<br />Term vector from tag co-occurrence <br />Term vector for each suggested Dbpedia disambiguation page <br />23<br />apple, film, 1980, ..<br />apple, inc, computer, ..<br />apple, iphone, computer, ..<br />apple, tree, fruit, ..<br />
  30. 30. Tags to User Interests<br />Based on 72 POIs verified by users<br />24<br />
  31. 31. From social to semantics<br />Cleaning up the tag <br />Associating tags with semantics<br />Integrating tagging information<br />Collecting and merging social networks<br />25<br />
  32. 32. Connecting it all <br />26<br />
  33. 33. Tag structuring <br />27<br />
  34. 34. From social to semantics<br />Cleaning up the tag <br />Associating tags with semantics<br />Integrating tagging information<br />Collecting and merging social networks<br />28<br />
  35. 35. Merging social networks<br />29<br />
  36. 36. From raw tags and social relations to Linked Data<br />Collective intelligence<br />User raw data <br />Semantic data<br />Linked data <br />ontologies<br />
  37. 37. Live Social Semantics: architecture<br />31<br />
  38. 38. SocioPatterns platform: motivation<br />fundamental knowledge on human contact<br />epidemiological relevance for airborne pathogens<br />communication in mobile scenarios<br />organizational investigation<br />ubiquitous social networking<br />augmented (social) reality<br />32<br />
  39. 39. Convergence with online social networks<br />33<br />leverage social context<br />
  40. 40. SocioPatternsRFIDs and data collection<br />34<br />
  41. 41. Live Social Semantics: architecture<br />35<br />
  42. 42.
  43. 43. 37<br /><br />
  44. 44. web-based user-centered interface<br />38<br />
  45. 45. 39<br />
  46. 46. Deployed at:<br />Live Social Semantics<br />
  47. 47. Statistics<br />ESWC 2009 <br />attended by over 300 people<br />187 collected an RFID<br />139 created accounts on LSS site<br />HyperText 2009<br />attended by around 150 people<br />113 collected an RFID<br />97 registered on LSS site<br />41<br />
  48. 48. Survey of users who didn’t provide LSS with any SNS accounts<br />84 registered with no SNS accounts<br />36 responded to our survey<br />Some used LinkedIn or xing<br />This survey does not include conf attendees who did not participate in LSS <br />42<br />
  49. 49. Recommendation Services for LSS <br />Recommending talks and sessions<br />If speakers are in your online social network<br />If speakers are in your community of practice network<br />If you have met the speakers during the conference or in past events<br />Recommending people for your online social network<br />If you spent time talking to someone not in your online social network<br />If you met someone who is influential, active<br />If you have strong indirect connections to a person you met<br />Recommending people you should meet<br />If you have strong overlap of interests<br />If your community of practice is very similar<br />If you have an overlapping social network<br />Recommending popular topics/sessions to organisers<br />If a talk/session is heavily attended <br />If a talk/speaker generated much attention<br />43<br />
  50. 50. Acknowledgement<br />CiroCattuto - ISI Turin<br />Wouter van Den Broeck - ISI Turin<br />Martin Szomszor - CeRC, City University, UK<br />Alain Barrat - CPT Marseille & ISI<br />GianlucaCorrendo – Uni Southampton, UK<br />Organizers of ESWC 2009, HT 2009, and ESWC 2010<br />Users of LSS!<br />Live Social Semantics references:<br />Szomszor, M., et al. (2010) Semantics, Sensors, and the Social Web: The Live Social Semantics experiments. Extended Semantic Web Conference (ESWC), Crete. <br />Broeck, W., et al. (2010) The Live Social Semantics application: a platform for integrating face-to-face presence with on-line social networking, Workshop on Communication, Collaboration and Social Networking in Pervasive Computing Environments (PerCol), IEEE PerCom, Mannheim.<br />Alani, H., et al. (2009) Live Social Semantics. In: 8th International Semantic Web Conference (ISWC, US.<br />44<br />
  51. 51. THANKS!<br />please consider participating in LSS<br /><br />45<br />