English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109948/140897 (78%)
Visitors : 46074557      Online Users : 733
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/140.119/75628


    Title: Integrated methodologies for mapping and forecasting science and technology trends: A case of etching technology
    Authors: Wu, Feng-Shang;Shiu, C.-C.
    吳豐祥
    Contributors: 創新與創造力研究中心
    Keywords: Bibliometric analysis;Bibliometrics;Integrated method;Integrated methodology;Material processing technology;Patent database;Research fields;Research topics;Science and Technology;Scientific papers;Semiconductor industry;Text mining;Theory and practice;Time-periods;Trend analysis;Trend forecasting;Economics;Etching;Industrial management;Patents and inventions;Semiconductor device manufacture;Semiconductor growth;Technology
    Date: 2010
    Issue Date: 2015-06-10 12:06:13 (UTC+8)
    Abstract: This study proposes an integrated trend analysis methodology by applying bibliometric analysis and text mining on both scientific paper and patent database. The bibliometric analysis is investigated in four different dimensions: publication growth, country/region, organization, classification. However, the text mining is obtained by keyword analysis for different time periods and research field maps. The integrated method is applied on etching technology which is a material processing technology particularly important for semiconductor industry. On the basis of the results obtained in the practice of etching technology, six different relations among the proposed two publication database (paper and patent) and two conventional trend forecasting method (bibliometrics and text-mining) are systematically analyzed as a framework for depicting a desirable Sci-Tech trend analysis model: Bibliometric analysis should be investigated first, and then text-mining is subsequently applied to discover important research topics of selected fields. The importance of paper and patent should be equally treated for obtaining a complete result taking into both theory and practice into consideration. © 2010 IEEE.
    Relation: PICMET `10 - Portland International Center for Management of Engineering and Technology, Proceedings - Technology Management for Global Economic Growth,2010, 論文編號 5603439, Pages 267-289
    Data Type: conference
    Appears in Collections:[創新與創造力研究中心 ] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML21978View/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