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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kubo, S. Tsuji, H. Maus, H. Dengel, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Grad. Sch. of Eng., Osaka Prefecture Univ., Sakai (Kubo, S.; Tsuji, H.) || Knowledge Manage. Dept., German Res. Center for Artificial Intell. DFKI GmbH, Kaiserslautern (Maus, H.; Dengel, A.) |
| Abstract | 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. |
| Starting Page | 2765 |
| Ending Page | 2771 |
| File Size | 356647 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424423835 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2008.4811715 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ontologies Semantic Web Knowledge engineering Knowledge management Artificial intelligence Area measurement Clouds Frequency Data visualization Internet Semantic Desktop Trend Recognition Visualization Spreading Activation |
| Content Type | Text |
| Resource Type | Article |
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