應用網路書籤與VSM相似度演算法於強化實踐社群的形成

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陳崇正(Chung-Cheng Chen) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

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)

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摘要(中)

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。

摘要(英)

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.

關鍵字(中)

★ 網路書籤
★ 實踐社群
★ 協同標籤
★ Web 2.0

關鍵字(英)

★ Social Bookmarking
★ Community of Practice
★ Collaborative tags
★ collective intelligence

論文目次

摘要 V
ABSTRACT VI
目錄 VII
圖目錄 X
表目錄 XI
第一章、緒論 1
1.1、研究背景 1
1.2、研究動機 2
1.3、研究問題（RESEARCH QUESTIONS） 3
1.4、解決方法（SOLUTIONS） 4
1.5、研究貢獻 4
1.6、論文架構. 5
第二章、相關研究 6
2.1、相關的研究與目前的狀態 7
2.1.1社群網站相關研究 7
2.1.2相似度（Similarity）計算相關研究 9
2.1.3正規化概念分析（FCA）簡介 12
2.2、本論文所提出方法與所面臨的挑戰 16
2.3、本論文與其他相關研究的比較 18
第三章、 METHOD AND SOLUTIONS 22
3.1、社會性貼標籤（SOCIAL TAGGING） 22
3.1.1、從社會性標籤之分享探究社群(CoP)之形成 22
3.1.2、應用與影響 24
3.2、SOLUTION MODULE 27
3.2.1、向量空間模組（Vector Space Module） 27
3.2.2、向量維度（Vector Demension） 32
3.3、演算法（ALGORITHM） 33
3.3.1、解決方案的推論 34
3.3.2、演算程序（Procedure of algorithm） 39
3.3.3、效率考量（Performance） 41
第四章、系統實作 43
4.1、實作目的與範圍 43
4.1.1. CTS Data Spider 系統 44
4.1.2. Collaborative Tagging System（CTS）系統 47
4.2、實作環境 53
4.3、系統架構（SYSTEM ARCHITECTURE） 54
4.3.1、高階系統分析與設計 54
4.3.2、低階系統分析與設計 58
4.4、系統展示（SYSTEM DEMO） 65
第五章、實驗與討論 69
5.1、實驗的設計與安裝 69
5.1.1實驗情境（Scenarios） 69
5.1.2實驗的環境 70
5.2、實驗結果 71
5.3、量化評估（QUANTITATIVE EVALUATION） 75
第六章、結論 86
參考文獻 87

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指導教授

楊鎮華(Stephen J.H. Yang)

審核日期

2009-6-25

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