以情境感知內容調適提升網際普遍存取能力

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姓名

吳建德(Jian-De Wu) 查詢紙本館藏

畢業系所

網路學習科技研究所

論文名稱

以情境感知內容調適提升網際普遍存取能力
(Increasing Pervasive Web Accessibility with Context Aware Content Adaptation)

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摘要(中)

由於資訊科技快速的成長，在網路上可以發現各式各樣且不同性質的多媒體內容(multimedia content)。雖然很多行動裝置均已經支援網際網路的應用，能夠擷取網際網路上面的資訊，但是由於網際網路的興起遠比現今行動裝置來的早，因此大多數的資料的呈現方式並未符合目前的行動裝置性能，使得使用者在觀看內容時產生視覺上的不便，而且多媒體內容種類五花八門，諸如文字、圖片、語音與影片等等，並不是所有種類的內容都適合在使用者手中的裝置呈現，例如，個人數位助理(PDA)或手機，螢幕較小，運算能力差，網路連線能力較弱，所以勢必有些內容不適合或不能在這樣的裝置上呈現。我們提出一個具備動態考量使用者的情境調適機制(CCAF)，能夠使現今裝置能夠經由內容調適技術將取得的多媒體內容予以最佳化的呈現。

摘要(英)

In pervasive computing environment, user will use pervasive device to access web content. Currently, using pervasive device access most of web contents presents bad visualized effect, which impeded knowledge sharing. In addition, the great diversity of user’’s preference, environment, and device increases the difficulty and complexity of content design.
Therefore, we proposed a context-based adaptation solution, named Context Oriented Content Adaptation Framework (CCAF), that helping user to overcome accessing problems. The proposed framework is started from multimedia content decomposition. Each object is adapted according to specified adaptation rule, which determined from the user’s context. The template composition dynamically produces the corresponding style-sheet. Then an adapted XML-content will show on user’s device. Experiments show that CCAF is an extensible and scalable middleware system providing content adaptation service among heterogeneous context.

關鍵字(中)

★ 普遍存取
★ 內容調適
★ 情境感知

關鍵字(英)

★ universal access
★ content adaptation
★ context aware

論文目次

摘要 I
Abstract II
目錄 III
圖表目錄 IV
Figures IV
Tables V
Chapter 1 Introduction 1
Chapter 2 Related Research 3
Chapter 3 Content Adaptation 7
Chapter 4 Context-Oriented Content Adaptation Framework 10
4.1 Content Adaptation Framework 10
4.2 Context Description 13
4.3 Content Decomposition 15
4.4 Adaptation Process 17
4.5 Object Management 25
4.6 Transcoding Process 31
4.7 Template Composition 33
Chapter 5 Experiment and Discussion 37
Chapter 6 Conclusion Remarks 45
References 47

參考文獻

1. Girma Berhe, Lionel Brunie, Jean-Marc Pierson, ‘Modeling service-based multimedia content adaptation in pervasive computing,’ Proceedings of the first conference on computing frontiers on Computing frontiers, 2004, Ischia, Italy, April 14 - 16, 2004.
2. G. Banavar, L Bergman, R. Cardone, V Chevalier, Y Gaeremynck, F. Giraud, C. Halverson, S Hirose, , M. Hori, F. Kitayama, G. Kondoh, A Kundu, K Ono, A. Schade, D. Soroker, K. Winz ”An authoring technology for multidevice Web applications,” Pervasive Computing, IEEE, Volume: 3, Issue: 3, July-Sept. 2004, Pages:83 - 93
3. L.Q. Chen, X. Xie, X. Fan, W.Y. Ma, H.J. Zhang, and H.Q. Zhou; Huanqing Feng, “DRESS: A Slicing Tree Based Web Representation for Various Display Sizes,” MSR-TR-2002-126, December 2002.
4. L.Q. Chen, X. Xie, X. Fan, W.Y. Ma, H.J. Zhang, and H.Q. Zhou, “A visual attention model for adapting images on small displays,” MSR-TR-2002-125, 2002.
5. A. K. Dey and G. D. Abowd. ‘Towards a better understanding of context and context-awareness.’ In Workshop on The What, Who, Where, When, and How of Context-Awareness, Conference on Human Factors in Computer Systems (CHI2000), 2000.
6. Akira KINNO, Hideki YUKITOMO, and Takehiro NAKAYAMA, “An Efficient Caching Mechanism for XML Content Adaptation,” Proceedings of the 10th International Multimedia Modeling Conference (MMM’04), 2004
7. M. R. Genesereth, N. J., Nilsson’ Logical Foundations of Artificial Intelligence.’ Morgan Kaufmann, 1987.
8. Wai Yip Lum, Francis C.M. Lau, “A Context-Aware Decision Engine for Content Adaptation,” IEEE Pervasive computing, Vol. 1, No. 3, July-September 2002.
9. Yui-Wah Lee, Girish Chandranmenon and Scott C. Miller “GAMMAR: A Content-adaptation Server for Wireless Multimedia Applications”, Bell Laboratories.
10. R. Mohan, J. R. Smith and Chung-Sheng Li, “Adapting Multimedia Internet Content for Universal Access,” IEEE Transactions on Multimedia, vol. 1, No. 1, March 1999.
11. Thomas Phan , George Zorpas , Rajive Bagrodia, “An Extensible and Scalable Content Adaptation Pipeline Architecture to Support Heterogeneous Clients,” Proc. of the 22-nd International Conference on Distributed Computing Systems (ICDCS'02), page 507, 2002,
12. S.J.H. Yang, I. Chen, Norman W.Y. Shao, “Ontology Enabled Annotation and Knowledge Management for Collaborative Learning in Virtual Learning Community,” in Journal of Educational Technology and Society, vol. 7, no.4, 2004,.
13. S.J.H. Yang, B.J.D. Wu, and W.Y. Shao, “A modularized content adaptation mechanism applied to HTML content,” in the 9th Conference on Artificial Intelligence and Applications(TAAI 2004), November 5-6, 2004.

指導教授

楊鎮華(Jhen-Hua Yang)

審核日期

2005-7-19

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