Matches in Ruben’s data for { ?s ?p "The chorus of the popular song TiK ToK by the artist Ke$ha goes “Don’t stop, make it pop. DJ, blow my speakers up. Tonight, I’mma fight. ’Til we see the sunlight. Tik tok on the clock. But the party don’t stop, no”. We all know, however, that each nightlife event, be it a party, concert, or bar evening, comes to an end eventually. With NiteOutMag, we present a Chrome Web application that can help people revive nightlife events in the recent past. Among the younger generation, nightlife activities—just like any other activity—together with related multimedia data get shared online on social networks. The problem is that for one and the same event, the event-related user-generated data may be shared on a plethora of social networks. Therefore, with this paper, we introduce an application that extracts, reconciles, and models events from several event databases or calendars, social data from multiple social networks, and media from some photo and video sharing platforms. The collected data is attached to events held in a given area and further processed to generate an event-centric magazine where each page represents an event illustrated by media items."@en }
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- publication abstract "The chorus of the popular song TiK ToK by the artist Ke$ha goes “Don’t stop, make it pop. DJ, blow my speakers up. Tonight, I’mma fight. ’Til we see the sunlight. Tik tok on the clock. But the party don’t stop, no”. We all know, however, that each nightlife event, be it a party, concert, or bar evening, comes to an end eventually. With NiteOutMag, we present a Chrome Web application that can help people revive nightlife events in the recent past. Among the younger generation, nightlife activities—just like any other activity—together with related multimedia data get shared online on social networks. The problem is that for one and the same event, the event-related user-generated data may be shared on a plethora of social networks. Therefore, with this paper, we introduce an application that extracts, reconciles, and models events from several event databases or calendars, social data from multiple social networks, and media from some photo and video sharing platforms. The collected data is attached to events held in a given area and further processed to generate an event-centric magazine where each page represents an event illustrated by media items.".