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Real-time social networking profile information semantization using pipes and FCA

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2 Author(s)
Meza, R. ; Babes-Bolyai Univ., Cluj-Napoca, Romania ; Buchmann, R.A.

This paper describes a convenient method of processing and contextualizing information extracted from social networking systems such as Myspace, Facebook or Hi5 users in real-time by using the Yahoo! Pipes feed mash-up service and formal concept analysis. Interests referring to media consumption (favorite movies, favorite music, favorite books or role models) declared by users can be expanded into machine-readable semantic information in conjunction with databases available on the World Wide Web (imdb.com, allmusic.com, amazon.com or wikipedia.org).

Published in:

Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on  (Volume:3 )

Date of Conference:

28-30 May 2010