淡江大學機構典藏:Item 987654321/35068
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3987123      Online Users : 686
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/35068


    Title: Content adaptation for context-aware service in ubiquitous computing environments
    Other Titles: 應用於無所不在環境之環境導向內容調整
    Authors: 王振安;Wang, Chen-an
    Contributors: 淡江大學資訊工程學系博士班
    王英宏;Wang, Ying-hong
    Keywords: 環境導向;內容修改;語意網規則語言;推論;代理程式;Context-Aware;adapted content;SWRL;inference;agent
    Date: 2009
    Issue Date: 2010-01-11 05:58:25 (UTC+8)
    Abstract: 使用任何裝置、在任何地點和任何時間存取網頁內容是最近的趨勢。大部分的網路服務和網頁內容都是針對桌上型電腦而設計的,因此常常包含大量的多媒體檔案例如圖片、聲音和影像。但是裝置在網路連結方式、處理能力、儲存空間、顯示大小和格式的處理能力都不相同。 在很多情況下,原來在桌上型電腦呈現的網頁內容都不適合新的裝置(特別是行動裝置)。因此為了在不同的裝置和連線方式最佳化服務,內容改寫是必要的。
    這篇研究主要是討論如何將使用者環境資訊應用到網頁的內容改寫。在本篇論文中,首先針對環境導向服務提供一個推論機制。透過這個推論機制,使用各種不同裝置的使用者可以獲得適當的內容。接著利用建立本體論增加彈性,並建立類別和個體之間的關係。最後利用語意網規則語言,去描述環境資訊彼此間關係。
    The current and developing trend for consumers is to access Web content and applications anytime, anywhere, and on any device. Most Internet services and most World Wide Web content have been designed for desktop computers, and often contain rich media, such as images, audio, and video. However, devices differ in network connectivity, processing power, storage, display size, and format handling capabilities. In many cases, content designed for computers is not suitable for new (and often mobile) devices. Therefore, content adaptation is needed in order to optimize the service for different devices and access methods.
    This research discusses the way context is used for Web content adaptation. In this thesis, first we have proposed an inference mechanism for context-aware service. Through this inference mechanism, users using different devices can get appropriate content based on inference results. Second, we can demonstrate the correlation between classes and individuals and provide better scalability by means of building ontologies. Lastly, SWRL depends on ontology based rule language. Rules written based on SWRL can directly use an established object relationship from ontology.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

    Files in This Item:

    File SizeFormat
    0KbUnknown331View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback