English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 110097/141043 (78%)
Visitors : 46427236      Online Users : 1000
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://nccur.lib.nccu.edu.tw/handle/140.119/123595


    Title: 模糊分類應用於圖書館資訊選粹服務系統
    Application of Fuzzy Classification to the Library System of Selective Dissemination of Information
    Authors: 林信成
    Lin, Sinn-Cheng
    蕭勝文
    Hsiao, Sheng-Wen
    Contributors: 圖資與檔案學刊
    Keywords: 模糊分類;模糊編目;模糊詮釋資料;模糊檢索;模糊資訊選粹服務
    Fuzzy classification;Fuzzy catalogue;Fuzzy metadata;Fuzzy search;Fuzzy SDI
    Date: 2005-02
    Issue Date: 2019-05-27
    Abstract: 本研究將模糊分類與模糊詮釋資料之概念應用於資訊選粹服務系統的設計上,以更滿足讀者的個人化資訊需求。我們首先對於若干與本研究相關的領域進行探討,包括圖書館自動化、分類編目、資訊選粹服務、詮釋資料、模糊理論等。接著,闡述模糊詮釋資料,並以模糊理論模型解釋其意涵。再者,提出圖書模糊分類與編目,以及將模糊詮釋資料以中國機讀編目格式註錄至書目資料庫之方法。另一方面,本研究亦對讀者進行模糊分類,以便讀者與圖書之模糊關係可藉由模糊合成運算獲得,達成模糊資訊選粹服務之目標。最復,我們發展一套實驗型的模糊資訊選粹服務系統來印證本研究所提出的方法。
    This study applies the concepts of fuzzy classification and fuzzy metadata to the design of the library system of selective dissemination of information, so as to further correspond to the reader`s individual requirement of information. Firstly, we survey some fields related to our study, including library automation, classification and catalogue, selective dissemination of information (SDI), metadata, and fuzzy theory. Secondly, we attempt to define and expound the concept of fuzzy metadata by using fuzzy theory as the theoretical model. Furthermore, we propose a fuzzy method for classifying and cataloguing books as well as a practical approach for recording the fuzzy metadata to bibliographical databases in CMARC format. The method of fuzzy classification is also applied to the reader, in order that the fuzzy relations between the reader and books can be explicated in fuzzy composition to achieve the goal of fuzzy SDI. Finally, we develop an experimental fuzzy SDI system to verify the proposed methods in our study.
    Relation: 圖書與資訊學刊, 52, 23-41
    Data Type: article
    DOI 連結: https://doi.org/10.6575/JoLIS.2005.52.02
    DOI: 10.6575/JoLIS.2005.52.02
    Appears in Collections:[圖資與檔案學刊] 期刊論文

    Files in This Item:

    File Description SizeFormat
    28.pdf1183KbAdobe PDF2139View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback