Development of a Desktop Search System Using Correlation between User´s Schedule and Data in a Computer

As computers develop, various kinds of tasks have become to be done by computers. In this situation, the amount of data stored in a computer has been increasing, and it has therefore caused a new problem that necessary data are often missing or lost in a computer. In a sense, this means that the conventional desktop information retrieval technology has reached to the limits and a new desktop information retrieval is required. In this study, we propose a desktop search system that uses correlation between a user´s action log, including his/her schedule and Web browsing log, and data in a computer. By using our system, we can find data in a computer based on the memory for our activities.