Unwinding The Twine

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How to build user profiles lifting user activities on the Social Web to Linked Data resources

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Unwinding The Twine

  1. 1. 4th Project Meeting - 15/12/2009 @ Munich Unwinding the twine a Linked Data approach to the user profiling Davide Palmisano Tuesday, December 15, 2009
  2. 2. User profiling and context models a (very) short ToC Collecting data from the Social Web [1] a quick recap Reasoning over them to build user profiles with Linked Data User profiles syndication with OpenSocial and a quick demo [1] http://bit.ly/82qqoX Tuesday, December 15, 2009
  3. 3. User profiling and context models user activity aggregation... Tuesday, December 15, 2009
  4. 4. User profiling and context models user activity aggregation... What are such user graphs? RDF named graphs a set of RDF statements describing a user activities on the Social Web a complex twine acting as a uniform user log just something a bit better than a collection of URLs Tuesday, December 15, 2009
  5. 5. User profiling and context models user activity aggregation... But unfortunately, a collection of URLs cannot be considered a user profile a user profile should represents interests, behaviors, favorite music or movie genres, preferred actors ... how we can access to this information? Tuesday, December 15, 2009
  6. 6. User profiling and context models user activity aggregation... The Beancounter[2], now has all the facilities needed to interact with several identity resolvers an identity resolver is a lightweight Web service[3] able to return some Linked Data URIs given a certain kind of URL or other type of identifiers ISBN to URIs, Last.fm identifier to URIs ... Tuesday, December 15, 2009
  7. 7. User profiling and context models Tuesday, December 15, 2009
  8. 8. User profiling and context models data enrichment linking every URL to its LoD representative URIs allows us to access to an incredible source of information where infer user interests SKOS subjects dbpedia:Category:American_film_actors dbpedia:Category:American_film_directors genres dbpedia:Alternative_rock related resources dbpedia:Harvard_University Tuesday, December 15, 2009
  9. 9. User profiling and context models Tuesday, December 15, 2009
  10. 10. User profiling and context models so the idea is to collect such URIs, aggregate them for each user registered to the Beancounter and represent them as weighted foaf:interests Tuesday, December 15, 2009
  11. 11. User profiling and context models a real example Salvatore is an enthusiast of Last.fm and is using it everyday. He is registered to the Beancounter and he gave his Last.fm credentials to it. RAI wants to develop an application lettings Beancounter users to get personalized news how to achieve such scenario? Tuesday, December 15, 2009
  12. 12. User profiling and context models a real example All the RAI developers need to do is: completely delegate the user profiling mechanism to the Beancounter, persist the Beancounter returned user IDs, access to the user profiles simple making OpenSocial REST calls Tuesday, December 15, 2009
  13. 13. User profiling and context models Tuesday, December 15, 2009
  14. 14. User profiling and context models http://moth.notube.tv/social/rest/people/1060/@self {"entry":{"id":"1060","interests":["http://dbpedia.org/resource/ Category:Cloud_computing","http://dbpedia.org/resource/ Category:Free_system_software","http://dbpedia.org/resource/ Category:Free_software_programmed_in_Java","http://dbpedia.org/ resource/Category:Cloud_infrastructure","http://dbpedia.org/ resource/Category:Distributed_file_systems","http:// dbpedia.org/resource/ Category:Musical_groups_established_in_2002","http:// dbpedia.org/resource/Category:Science_of_photography"]}} Tuesday, December 15, 2009
  15. 15. User profiling and context models Questions ? Tuesday, December 15, 2009
  16. 16. User profiling and context models http://code.google.com/p/notube-collector/ http://notube.tv http://blog.notu.be/ Tuesday, December 15, 2009

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