Reorganizing Personal Knowledge Based on Memory Models and Tagging Technology

• Main Authors: I-WEN LIN, 林依文
• Other Authors: Chuen-Tsai Sun
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/wv9urg

碩士 === 國立交通大學 === 多媒體工程研究所 === 95 === Since the first version of Window operation system was developed in 19XX, a categorization approach “folder” have served as an important information tool to organize data. However, the hierarchical structure of folder has its limitations and weaknesses for organization data, e.g. problem of tree structure and hierarchical priority…etc. The drawback of folder categorization may make people difficult to effectively search for demanded information. Besides, the existing file searching system like Google Desktop Search limited by keyword may not reflect the context of content, so it needs a more effective and efficient approaches to help people search in organized knowledge structure even unorganized data pool. In this study, I focus on re-organizing knowledge by tagging approach to help data search and organization. Because tagging network is structured as plane network, it has no hierarchical problem. And due to tagging procedure is established based on user’s cognition, users can avoid content relation problem resulted from keyword search. This thesis uses tagging technology to design a personal knowledge re-organizing system which is based on memory models and memory recording processes of cognitive psychology. The proposed tagging system aims to improve original files searching system based on folder structure, and thus can help people record, store, and re-organize knowledge in user’s personal biological memory. Several experiments were run in senior high school for evaluating the proposed tagging system by comparing the traditional hierarchical folder system. Two phases experiments including pretest and posttest show that using tagging system to re-organize personal knowledge is more efficient, effective, and intuitive than traditional approach. Moreover, by visualizing how user records and organizes his/her knowledge, the tagging network structure organized by different user can show user’s personal memory style which can be viewed as a useful tools to observe how people organize their personal knowledge.