A life-log search model based on Bayesian network

The integration of life-log data in different media enables to represent the same activities from various viewpoints. Integrated life-log data represent contexts each other that are not able to represent in single. Each media has its own characteristic features, and the limitation on its content representation ability. Life-log data consists of records of activities. Examples of life-log data are the e-mail massages that he/she sent and received, TV programs that he/she watched, and photographs that he/she took, and so on. One of the most important characteristic of life-log is that the same activities are represented in different media. This paper focuses on the integrate life-logs in different media and to search them based on their contexts. A problem of the integration is that it is difficult to make correspondences between life-logs in different media types strictly and the correspondences consists uncertainty. In this paper, we introduce a framework based on Bayesian Network.