Exploring Personal CoreSpace for DataSpace Management
With rapid increment of personal data amount, how to efficiently search Personal DataSpace (PDS) becomes an interesting and promising research topic. Popular methods include folder explorer, desktop search tools, and etc. Because these methods ignore user features, they fail to work well in some cases. For example, sometimes users expect to relocate a personal document based on some fuzzy memory clues, such as its type, access time, and so on. These queries can't be supported well by current personal data management tools. The aim of this paper is to discover effective methods to help users search Personal DataSpace.