English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56431/90260 (63%)
Visitors : 11699099      Online Users : 26
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/53638


    Title: 提升體育新聞資訊品質之探討-以SportsML、NITF、NewsML整合為例
    Authors: 林信成;游忠諺
    Contributors: 淡江大學資訊與圖書館學系
    Keywords: Metadata;NewsML;NITF;SportsML;詮釋資料
    Date: 2004-12-03
    Issue Date: 2011-05-20 09:52:31 (UTC+8)
    Publisher: 文化大學
    Abstract: SportsML是IPTC利用XML所制訂的一套Metadata標準,主要用於交換和傳輸各類運動項目紀錄與相關新聞報導,本研究試圖從傳播過程的角度開始,描述詮釋資料在傳播過程中所扮演的角色,並選擇描述體育新聞的詮釋資料-SportsML,探討SportsML的技術標準、結構組成、描述能力與NITF和NewsML的整合,提出範例以供探討,最後描述台灣在描述體育新聞時採用詮釋資料做為文件傳遞格式的現況,並提出建議以供參考。
    SportsML is a Metadata standard based on XML and established by IPTC (International Press Telecommunication) to exchange and transfer sport records and news report. The object of this research is to describe the role of metadata in communication process, to explore the technique standard, structure formation, description ability of SportML, its integration with NITF and NewsML. Also, examples are provided for discussion. This study may have a substantial contribution on providing academics and practitioners with insight into understanding the application of using metadata as a format for transferring document on Sport News in Taiwan.
    Relation: 數位典藏作業規劃與品質管理研討會,頁118-130,台北
    Appears in Collections:[Graduate Institute & Department of Information and Library Sciences] Proceeding

    Files in This Item:

    There are no files associated with this item.

    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