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With a large amount of data (e.g., ratings and feedbacks) obtained from social media (e.g., TripAdvisor), smart tourism applications and services have been studied to understand the contexts of users. More particularly, in this work, we have been focusing on “cultural tourism” service by automatically identifying and ranking cultural things (e.g.,(More)
Social network services (e.g., Twitter and Facebook) can be regarded as social sensors which can capture a number of events in the society. Particularly, in terms of time and space, various smart devices have improved the accessibility to the social network services. In this paper, we present a social software platform to detect a number of meaningful(More)
Discovering content and stories in movies is one of the most important concepts in research studies. To consider how to efficiently determine the relationships between characters, we focus on the appearance of each character during movie play and analyze the characters' relationships to build a CoCharNet, a social network, to determine characters'(More)
Story-based contents (e.g., novel, movies, and computer games) have been dynamically transformed into various media. In this environment, the contents are not complete in themselves, but closely connected with each other. Also, they are not simply transformed form a medium to other media, but expanding their stories. It is called as a transmedia(More)
Movie summarization focuses on providing as much information as possible for shorter movie clips while still keeping the content of the original movie and presenting a faster way for the audience to understand the movie. In this paper, we propose a novel method to summarize a movie based on character network analysis and the appearance of protagonist and(More)
Storification is a theoretical technique which aims to construct the underlying relationships from discrete information for packaging them into a logical structure. In this paper, we focus on proposing the definition of serendipity-based storification in the personal history which is the combination of two-step processes: i) discovering hidden stories in(More)
With a large number of scientific literature, it has been difficult to search for a set of relevant articles and to rank them. In this work, we propose a generalized network analysis approach (called N-star ranking model) for sorting them based on . The ranking of the result is considered in the mutual relationships between another classes: keyword,(More)