Managing uncertain location with probability by integrating absolute and relative location information

Location information is expressed by various formats that depend on services. Location information is divided into two categories: absolute location information (such as latitude/longitude and address), and relative location information (such as distance and direction). Each service that utilizes location information defines location information system individually. Therefore, sharing location informations between the services is difficult. Consequently, reusability of location information decreases. Then, we consider new common location information system, which can be converted from location information of various systems and expresses location more flexible. In this study, we propose probabilistic location information, which expressed as a combination of area and existence probability. Moreover, we propose the algorithm which calculates probabilistic location information based on geographic coordinate information and pass-by information (PLPA-GP).