Extracting Meaningful Contexts from Mobile Life Log
نویسندگان
چکیده
Life logs include people's experiences collected from various sources. It is used to support user's memory. There are many studies that collect and store life log for personal memory. In this paper, we collect log data from smart phone, derive contexts from the log, and then identify which is meaningful context by using a method based on KeyGraph. To evaluate the proposed method, we show an example of the meaningful places by using contexts and GPS logs collected from two users.
منابع مشابه
An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones
Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people’s life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient wa...
متن کاملExploiting machine learning techniques for location recognition and prediction with smartphone logs
Due to the advancement of mobile computing technology and the various sensors built in the smartphones, context-aware services are proliferating to everyday life. Location-based service (LBS), which provides the appropriate service to smartphone users according to their contexts, is becoming more popular, and the location is one of the most important contexts in LBS. Extracting and recognizing ...
متن کاملEfficient Extraction for Mobile Web Access Log with Caching Strategy
Mobile web access log file plays an important role in the analysis about demand of mobile terminal market or user behavior. However, the log file data is highly dimensional, disorganized and semi-structured, which heightens the difficulty of data extracting accuracy; while it generates and transmits continuously, which poses an extracting efficiency challenge. It is highly desirable to extract ...
متن کاملModular Bayesian Networks for Inferring Landmarks on Mobile Daily Life
Mobile devices get to handle much information thanks to the convergence of diverse functionalities. Their environment has great potential of supporting customized services to the users because it can observe the meaningful and private information continually for a long time. However, most of the information has been generally ignored because of the limitations of mobile devices. In this paper, ...
متن کاملA lifelog browser for visualization and search of mobile everyday-life
Mobile devices can now handle a great deal of information thanks to the convergence of diverse functionalities. Mobile environments have already shown great potential in terms of providing customized service to users because they can record meaningful and private information continually for long periods of time. The research for understanding, searching and summarizing the everyday-life of huma...
متن کامل