Hyun-Sook Chung

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In this paper we propose a searching and recommendation method of TV program contents in order to reduce the information overload problem. Most of previous recommendation approaches are dependent on simple ratings of users to determine preference similarity among the users. But our approach is closely related to the combination of ontology-based TV program(More)
[Purpose] The purpose of this study was to investigate the test-retest reliability of the Driving Habits Questionnaire in community-dwelling older self-drivers. [Subjects and Methods] Seventy-four participants were recruited by convenience sampling from local rehabilitation centers. This was a cross-sectional study design that used two clinical measures:(More)
In these days, the creative user really enjoys creating digital items and sharing their works with other people on the Web. Most users, who create digital contents, want to make secured packages of their works and distribute them with the attachment of valid licenses. Current digital rights management (DRM) systems, however, do not provide the functionality(More)
Merging between topic maps describes the process of integrating two topic maps into a new topic map. In this paper, we propose a specific ontology merging process for integrating two source topic maps into a new topic map based on given semantic correspondences. Also, we define a taxonomy of merging conflicts which occur during the process of topic maps(More)
The user interface is one of the most important factors to use various functions of mobile device easily. Recently, the importance of the user interface has been increased after Apple emphasized emotional UX(User eXperience) by applying multi-touches to iPhone. Mobile device Manufacturers have tried to apply embedded sensors to apps as user interface.(More)
In these days, Internet-based TV services provide the great opportunity to users in accessibility to TV program contents. Therefore, it is important for TV viewers to easily search the preferred their TV contents based on their interests, tastes and preferences. In this paper we propose a searching and recommendation method of TV program contents based on(More)