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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/8818


    Title: 應用網路書籤與VSM相似度演算法於強化實踐社群的形成;Applying social bookmarking and VSM to enhance the formation of communities of practice
    Authors: 陳崇正;Chung-Cheng Chen
    Contributors: 資訊工程學系碩士在職專班
    Keywords: 網路書籤;實踐社群;協同標籤;Web 2.0;Social Bookmarking;Community of Practice;Collaborative tags;collective intelligence
    Date: 2009-06-23
    Issue Date: 2009-09-22 11:35:20 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 由於Web 2.0的興起,隨之也掀起了社群之風潮,也因這股風潮促使了網際網路的社會化。其因乃在於Web 2.0所強調的精神是在於創造與分享,因此也衍生出Blog、Wiki與網路書籤之社群型態的網路族群,並且透過維基、部落格、網路書籤等各類型的社交服務網站,已成功的締造出人與人之間的互動關係與知識分享之橋樑。 有基於此,本論文試圖嘗試提出一套有效的方法來找到與你相似興趣或同好的人,透過協同標籤與協同標籤所註記的網路資源作為分析彼此興趣之相似程度的關係媒介,以此關係來形成社群,透過這樣的社群活動來實現出群體智慧的知識創新與交流。 Due to the emergence of Web 2.0, and then there will also set off a wave of the Community, but also this wave to promote the degree of socialization of the internet. Because of the Web 2.0 main spirit is emphasis that it is highlighted creation and sharing. Therefore, lead to rises the various type of community network groups derived from Blog, Wiki and Web bookmarking, but also has been successful to create a mechanism of community for person-to-person interaction between the social relationship and knowledge sharing through wikis, blogs, Internet bookmarks and other types of social services website. Based on this, this paper attempts to try to put an effective method to find people of similar interests with you who share their similar interests, through the Collaborative tags and the collaborating tagging as the analysis of network resources is a medial of social relationship to measure the each other degree of interested. Base on the idea, to formation the community of practice, and then through such activities of community to realize the collective intelligence of the knowledge innovation and communication.
    Appears in Collections:[Executive Master of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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