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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/60211
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/60211


    Title: 雲端運算環境下基於知識本體之資訊檢索系統建置-以半導體產業為例
    Constructing ontology-based information retrieval system in cloud computing environment – the case of semiconductor industry
    Authors: 李佳穎
    Li, Chia Ying
    Contributors: 劉文卿
    Liou, Wen Ching
    李佳穎
    Li, Chia Ying
    Keywords: 雲端運算
    文字探勘
    知識本體
    資訊檢索
    Cloud Computing
    Text Mining
    Ontology
    Information Retrieval
    Date: 2010
    Issue Date: 2013-09-04 16:58:18 (UTC+8)
    Abstract: 本研究針對半導體產業,提供一智慧型搜尋功能,讓使用者在大量資料中能快速及準確地搜尋。為達此目的,本研究中定義知識空間及其組成元素,並發展一組程式以產生該知識空間及知識空間搜尋機制,以提升使用者生產力。所使用到的技術包含:(1)建立知識本體,(2)計算兩詞彙同時出現頻率,(3)計算詞彙與文件關聯度,(4)發展知識空間搜尋環境。
    This study aims to provide an intelligent searching environment which users can search quickly and precisely from a large number of documents in semiconductor industry. In order to achieve the purpose, this paper defines a knowledge space and its composition elements to describe the knowledge of real world, and then develops a program to shorten the searching cost by providing the searching mechanism based on knowledge space. The techniques used in this study includes:(1) Construct 「Semiconductor Industry Ontology」(2) Compute the frequency of two terms appearing simultaneously (3) Compute the interrelatedness between terms and documents (4) Develop searching environment based on knowledge space.
    Reference: 一、英文參考文獻
    [1] Agrawal, R., Srikant, R. (1994). Fast algorithms for mining association rules. IBM Research Report RJ9839. IBM Almaden Research Center.
    [2] Cecchet, E., Singh, R., Sharma,U., Shenoy, P. (2011). Dolly: virtualization-driven database provisioning for the cloud.
    [3] Chang, F., Dean, J., Ghemawat, S., Wilson, C. H., Deborah, A. W., Burrows. M., Chandra, T., Fikes, A., Robert, E. G. (2006). Bigtable: A Distributed Storage System for Structured Data. Seventh Symposium on Operating System Design and Implementation. Seattle, WA.
    [4] Dawei, S., Guiran, C., Chunguang, T., Xingwei, W. (2011). Enhancing Security by System-Level Virtualization in Cloud Computing Environments.
    [5] Dean, J., Ghemawat. S. (2004). MapReduce: Simplified Data Processing on Large Clusters. Proceedings of the 6th Symposium on Operating Systems Design and Implementatio. San Francisco, CA.
    [6] Gantz, J., Reinsel, D. (2009). As the Economy Contracts, the Digital Universe Expands. IDC Multimedia White Paper. Sponsored by EMC Corporation.
    [7] Gantz, J., Reinsel, D. (2010). A Digital Universe Decade – Are you Ready? IDC Multimedia White Paper. Sponsored by EMC Corporation.
    [8] Ghemawat, S., Gobioff, H., Shun-Tak Leung. (2003). The Google File System, 19th ACM Symposium on Operating Systems Principles. Lake George, NY.
    [9] Goldberg, R. P. (1973). Architectural Principles for Virtual Computer Systems. Harvard University. pp. 22-26.
    [10] Luhn, H.P. (1958). The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development. Vol. 2, pp.157-165.
    [11] Maedche, A., Staab, S. (2001). Ontology Learning for the Semantic Web Export. IEEE Intelligent Systems In Intelligent Systems. IEEE, Vol. 16, No. 2., pp. 72-79.
    [12] Mell, P., Grance, T. (2009a). Effectively and Securely Using the Cloud Computing Paradigm, NIST Information Technology Laboratory.
    [13] Mell, P., Grance, T. (2009b). The NIST Definition of Cloud Computing, NIST Information Technology Laboratory.
    [14] Noy, N. F., McGuinness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. Technical Report SMI-2001-0880, Stanford Medical Informatics.
    [15] Sullivan, D. (2001). Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales. New York, NY: John Wiley & Sons, Inc.
    [16] Tulloch, M. (2010). Understanding Microsoft Virtualization Solutions. Redmond, Washington:Microsoft Press.


    二、中文參考文獻
    [17] 黃國政(2006)。運用文字探勘技術於人才招募推薦系統之研究。靜宜大學資訊管理研究所碩士論文。
    [18] 許偉忠(2007)。以成本敏感分類分析法建構之多語言文件分類技術。國立清華大學科技管理研究所碩士論文。
    [19] 朱明中(2010)。Windows Azure教戰手札。台北市:碁峰資訊股份有限公司。
    [20] 陳垂呈(2008)。利用分類分析發掘產品最適性之項目組合。南台科技大學資訊管理研究所碩士論文。
    [21] 陳瀅(2010)。雲端策略:雲端運算與虛擬化技術。台北市:天下雜誌股份有限公司。
    [22] 曾元顯(1997)。關鍵詞自動擷取技術與相關詞回饋,中國圖書館學會會報 ,第59 期,1997,59-64。
    [23] 蘇晏譁(2009)。運用文字探勘技術建置知識本體之研究-以財經文件為例。國立政治大學資訊管理研究所碩士論文。
    [24] 葉乃菁、王玳琪、張嘉珍、吳騏、賴志遠(2009)。建構創新政策研究工具--文字探勘之應用簡介,國研科技,第1期,2009,17-20。
    [25] 巫啟台(2002)。文件之關聯資訊萃取及其概念圖自動建構。國立成功大學資訊工程研究所碩士論文。




    三、網路參考資料
    [26] Amazon (2011a). Amazon EC2. Retrieved from:http://aws.amazon.com/ec2/
    [27] Amazon (2011b). Amazon S3. Retrieved from:http://aws.amazon.com/s3/
    [28] Garner (2008). Gartner Says Cloud Computing Will Be As Influential As E-business. Retrieved from:http://www.gartner.com/it/page.jsp?id=707508
    [29] IBM (2007). IBM Introduces Ready-to-Use Cloud Computing. Retrieved from:http://www-03.ibm.com/press/us/en/pressrelease/22613.wss
    [30] Google (2011)。Google應用服務引擎。取自:http://code.google.com/intl/zh-TW/appengine/
    [31] Salesforce (2011)。Force.com產品介紹。取自:http://www.salesforce.com/tw/platform/products.jsp。
    [32] Wikipedia (2007)。雲端運算。取自:http://bit.ly/ok1ZlG
    [33] Windows Azure (2011)。Windows Azure Platform產品簡介。取自:http://www.microsoft.com/taiwan/windowsazure/
    [34] 趨勢科技(2011)。趨勢科技防毒技術。取自:http://www.trendmicro.com.tw/spn/index.asp
    [35] 謝良奇(2008)。HP、Intel、Yahoo共組開放源碼雲端運算計畫。取自:http://bit.ly/916Pcy
    Description: 碩士
    國立政治大學
    資訊管理研究所
    98356003
    99
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0098356003
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

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