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研究生: 杜明璋
Ming-zhang Du
論文名稱: 網際學習服務之個人化註記管理
Personalized Annotation Management for Web Based Learning Service
指導教授: 楊鎮華
Stephen J. H. Yang
口試委員:
學位類別: 碩士
Master
系所名稱: 資訊電機學院 - 網路學習科技研究所
Graduate Institute of Network Learning Technology
畢業學年度: 92
語文別: 中文
論文頁數: 70
中文關鍵詞: 網際服務註記手寫
外文關鍵詞: Annotation, Web Service, Pen-based
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  • 註記主要是解釋教材。已存在的學習標準或是註記工具只能提供系統化的定義。然而當人們閱讀教材時總是有個人的意見。這些個人的意見對於其他人是非常有用。在本篇論文中,我們描述一個個人化註記管理的設計與實作,能夠使人們利用有效的方式管理、分享與重複使用個人的註記。我們發展一種錨點的方式可以將註記與教材之間利用精準的定位連結。也針對不同的服務提供一種適性化註記服務。系統還有一個目的是對於多人間的分享註記提供討論的互動機制。


    Annotation is used to provide interpretation of content. Existed learning standard or annotation tools only provide systematic definition. However, people always have their opinion when he read the content. This opinion is valuable for other people. In this thesis, we describe the design and implementation of a Personalized Annotation Management that enable people to manage, share and reuse their annotation in an efficient way. We develop an anchoring method which associated annotation to E-document in a precisely position. It also provides an adaptive annotation service for different service. The proposed system provides an interactive mechanism for discussion about shared annotations among multiple users.

    摘要 1 Abstract 2 目錄 3 圖表目錄 5 Figures 5 Tables 6 Chapter 1 Introduction 1 1.1 Definition of Annotation and Discussion 2 1.2 Importance of Annotation and Discussion 3 1.3 Problems of Annotation 4 1.4 Solution of Annotating E-document 7 1.5 Contribution 9 1.6 Organization 10 Chapter 2 Related Research 11 Chapter 3 Personalized Annotation Management 15 3.1 System Description and Architecture 17 3.2 Representation of annotation 20 3.3 Annotation Creation 22 3.4 Annotation Retrieval 26 3.5 Real-time Discussion Mechanism 31 Chapter 4 Implementation /Experiment 34 4.1 Annotation Editor 35 4.1.1 Annotation Recognizer 38 4.1.2 Anchoring Mechanism 38 4.2 E-Document Browser 40 4.3 Real-time Discussion Board 42 4.4 Illustration 50 Chapter 5 Experiment 51 5.1 Basic performance 51 5.2 Advanced Performance 54 Chapter 6. Conclusion 58 6.1 Summary 58 6.2 Contribution 58 6.3 Future work 59 References 60

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