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

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).