Title :
Real-time social networking profile information semantization using pipes and FCA
Author :
Meza, R. ; Buchmann, R.A.
Author_Institution :
Babes-Bolyai Univ., Cluj-Napoca, Romania
Abstract :
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).
Keywords :
Internet; semantic networks; social networking (online); FCA; Facebook; Hi5; Myspace; World Wide Web; Yahoo! Pipes; databases; formal concept analysis; machine-readable semantic information; mash-up service; media consumption; real-time social networking profile information semantization; Books; Data mining; Databases; Facebook; Feeds; Motion pictures; MySpace; Real time systems; Social network services; Web sites;
Conference_Titel :
Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-6724-2
DOI :
10.1109/AQTR.2010.5520734
