Visualizing personal trend on gnowsis Semantic Desktop

To let a user know the user´s personal trend on the user´s computer, this paper proposes a method to explore and visualize one´s personal trend on the premise that the Gnowsis semantic desktop is used. The proposed method classifies information items into four attention areas with a popularity change measure by using three indicators (direct attention score (DAS), indirect attention score (IAS) (using spreading activation) and popularity change (PC)). Comparing the proposed method with two existing tools (PIMO timeline and PIMO cloud) in the gnowsis, this paper describes the following advantages about the proposed method: (1) To deal with both touched concepts and neighbor concepts, (2) To consider frequency, (3) To consider trend, (4) To catch seven operations in the gnowsis. Moreover, from an experimental usage, which shows more than three subjects answered the proposed method provided good results in every question, this paper suggests the proposed method would be useful to show one´s personal trend.