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Responsive geo-referenced content visualization based on a user interest model and level of detail

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With steady growth in the deployment of sensor networks and widespread usage of mobile devices, the production of geo-referenced data is increasing exponentially, while analysis of the data typically uses a variety of application services on the Internet for activities such as logging and driving. This geo-referenced content needs to be classified and organized according to user interest for location-based decision-making. In this study, we define a user interest model and propose a method for organizing and presenting content based on the model. Our approach reconstructs geo-referenced content from a variety of sources based on points of interest organized by the user interest model. We present typical cases of using the proposed method, including a theme park resort, personal weather stations, and travel planning to show how the proposed method facilitates user decision-making based on the geo-referenced content.
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Keywords: geo-referenced content; interest model; level-of-detail; point of interest; visualization

Document Type: Research Article

Affiliations: 1: Department of Human Computer Interaction and Robotics, University of Science and Technology, Yuseong-gu, Daejeon, Republic of Korea 2: Center for Imaging Media Research, Korea Institute of Science and Technology, Seongbuk-gu, Seoul, Republic of Korea

Publication date: August 3, 2015

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