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A Life Browser based on Probabilistic and Semantic Networks for Visualization and Retrieval of Everyday-Life  

Lee, Young-Seol (연세대학교 컴퓨터과학과)
Hwang, Keum-Sung (연세대학교 컴퓨터과학과)
Kim, Kyung-Joong (세종대학교 컴퓨터공학과)
Cho, Sung-Bae (연세대학교 컴퓨터과학과)
Abstract
Recently, diverse information which are location, call history, SMS history, photographs, and video can be collected constantly from mobile devices such as cellular phone, smart phone, and PDA. There are many researchers who study services for searching and abstraction of personal daily life with contextual information in mobile environment. In this paper, we introduce MyLifeBrowser which is developed in our previous work. Also, we explain LPS and correction of GPS coordinates as extensions of previous work and show LPS performance test and evaluate the performance of expanded keywords. MyLifeBrowser which provides searching personal information in mobile device and support of detecting related information according to a fragmentary keyword and common knowledge in ConceptNet. It supports the functionality of searching related locations using Bayesian network that is designed by the authors. In our experiment, we visualize real data through MyLifeBrowser and show the feasibility of LPS server and expanded keywords using both Bayesian network and ConceptNet.
Keywords
lifelog; visualization; semantic networks; everyday life;
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