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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/10176


    Title: 設計語意本體論和脈絡獲取機制運用於無所不在的內容存取在網際網路的學習環境中;Designing Context Ontology and Context Acquisition for Ubiquitous Content Access in Web-Based Learning Environments
    Authors: 杜國銘;Kuo-Ming Tu
    Contributors: 網路學習科技研究所
    Keywords: 內容脈絡;網際網路學習;語意本體論;Context;Ontology;Web-based learning;Ubiquitous
    Date: 2006-06-30
    Issue Date: 2009-09-22 12:08:18 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 在網際網路學習環境中,無所不在的存取技術提供了情境感知的功能,來幫助學習者和學習內容之間的互動與獲取到相關的學習資源。我們希望的無所不在學習,是可以提供情境感知的學習內容,以及找到合適的學習夥伴,適合的學習內容,適合的學習服務系統在對的地點以及對的時間。 在此篇論文中,最主要的貢獻所在是我們建構了語意的描述以及語意內容資訊的獲得與擷取。我們利用了本體論(Ontology)來描述學習者和學習內容之間有關語意的資訊。接著根據我們所設計出來的語意本體論(Context Ontology)以及學習者周圍環境所處的語意資訊,來建置語意獲取機制以提供了一種更智慧的方法來讓學習者獲取所需要且適合的學習內容。 Ubiquitous access enables context aware interactivity between learners and content in Web-based learning environments. We envision that the first step toward ubiquitous learning is to provide context aware learning content by finding right collaborative learners, right learning content and right learning services in the right place at the right time. The major contributions of this paper are the development of our context representation and context acquisition. We utilize ontology to formally describe contextual information pertaining to learners and learning content. Based on this ontology, we construct context acquisition mechanism for intelligent learning content discovery and access based on learners’ surrounding context.
    Appears in Collections:[Graduate Institute of Network Learning Technology] Electronic Thesis & Dissertation

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