博碩士論文 92524010 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:64 、訪客IP:3.144.84.200
姓名 蘇育生(Yu-Sheng Su)  查詢紙本館藏   畢業系所 網路學習科技研究所
論文名稱 應用語意描述於探索在內容管理系統
(Applying Semantic Description and Discovery to ContentManagement Systems)
相關論文
★ 透過視覺化影片瀏覽行為分析提升磨課師課程之完課率★ 應用智慧分類法提升文章發佈效率於一企業之知識分享平台
★ 家庭智能管控之研究與實作★ 開放式監控影像管理系統之搜尋機制設計及驗證
★ 資料探勘應用於呆滯料預警機制之建立★ 探討問題解決模式下的學習行為分析
★ 資訊系統與電子簽核流程之總管理資訊系統★ 製造執行系統應用於半導體機台停機通知分析處理
★ Apple Pay支付於iOS平台上之研究與實作★ 應用集群分析探究學習模式對學習成效之影響
★ 應用序列探勘分析影片瀏覽模式對學習成效的影響★ 一個以服務品質為基礎的網際服務選擇最佳化方法
★ 維基百科知識推薦系統對於使用e-Portfolio的學習者滿意度調查★ 學生的學習動機、網路自我效能與系統滿意度之探討-以e-Portfolio為例
★ 藉由在第二人生內使用自動對話代理人來改善英文學習成效★ 合作式資訊搜尋對於學生個人網路搜尋能力與策略之影響
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 在一般內容管理系統中,使用者常常無法找到想要或相關的數位內容資源,
主要原因是在比對或是推理的過程中,無法獲得足夠描述這些數位內容資源的語
意資訊,作為運算的對象。
本論文提出內容模型(content model)來描述數位內容資源,並透過自動化的語
意描述機制來建立數位內容的內容模型檔案,以節省人力與時間的消耗,透過以
本體論文基礎的自動分類機制,提昇資訊檢索準確度,並達到個人化知識的再利
用與分享。為了提升資訊檢索準確度的效率,我們也整合LSI (Latent Semantic
Indexing)技術與個人註記工具,以提昇描述數位內容資源所需的語意資訊,這些
語意資訊會存到內容模型資料庫。
透過ICU 內容管理系統(Content Management System)實作環境以及後續的資
訊檢索實驗,我們驗證了內容模型所提供的語意描述能力,能夠確實提昇檢索的
性能。實驗結果顯示,我們提出的在自動化擷取內容模型的機制,能夠截取出大
部分的語意資訊,因而可以有效的節省建立語意資訊的人力與成本。在內容管理
系統中,個人化註記知識能夠有效的與被註記的數位內容資源結合,達到知識的
分享與再利用,並能增進資訊檢索的性能。
摘要(英) Users usually may not find desired content via existing Content Management
Systems. The main reason caused this problem is the lacking of enough semantic
description for digital content during the analyzing, reasoning, or computing process.
In this thesis, we proposed the Content Model to provide the semantic description
of digital content. A computer-aided description mechanism is developed to assist user
establishing content model to reduce the needed cost and laboring. To improved the
performance of information retrieval, we proposed ontology-based classification
mechanism combined with Latent Semantic Index method to enhance the semantic
relation of Content Model, which represented digital content.
To demonstrate the proposed semantic description, we implement the content
model via ICU Content Management System. The experiments results indicate the
proposed Content Model can improve the retrieval performance. The computer-aid
description mechanism can extract great part of meaningful information and does
reduce the required cost of Content Model establishments. Besides, in Content
Management System, the personalized annotation can be combined with described
digital content to achieve knowledge reuse and share.
關鍵字(中) ★ 語意描述
★ 探索
★ 內容管理系統
關鍵字(英) ★ discovery
★ content management systems
★ Semantic description
論文目次 第一章、緒論 1
1.1、研究背景 1
1.2、研究動機 4
1.3、研究貢獻 4
1.4、論文架構 5
第二章、相關研究 6
2.1、數位內容拆解相關研究 6
2.2、資訊擷取相關研究 9
2.3、資訊檢索相關研究 11
第三章、內容管理系統 13
3.1、內容管理系統描述與架構 13
3.2、內容模型(Content Model) 16
3.2.1、Core Metadata 18
3.2.2、Structural Metadata 20
3.2.3、Annotation Metadata 23
3.2.4、Behavior Metadata 24
3.3、建構內容模型 25
3.4、建構個人註記 29
3.5、建構分類 30
3.6、資訊檢索 35
第四章、系統實作與實驗 42
4.1、建立知識領域(Knowledge Domain Category) 43
4.2、ICU數位典藏場景 44
第五章、實驗 50
5.1、實驗資料說明 50
5.2、評估方法 50
5.3、內容模型編輯器效能評估 51
5.4、分類的效能評估 53
5.5、評估內容模型檢索的效能 54
第六章、 結論 56
6.1、總結 56
6.2、未來展望 56
附錄一:分類實驗的類別名稱與代表性關鍵字 57
附錄二:分類實作與實驗展示 59
參考文獻 60
參考文獻 [Alani, 2003] Alani, Harith and Kim, Sanghee and Millard, David and Weal, Mark
and Hall, Wendy and Lewis, Paul and Shadbolt, Nigel, “Automatic Ontology-Based
Knowledge Extraction from Web Documents”, IEEE Intelligent Systems, June 2003,
18(1):pp. 14-21.
[Blackboard01] Blackboard, http://www.blackboard.com/
[Clare, 2003] Clare Rogers, National Trust, and John Kirriemuir, “Developing a
Content Management System-based Web Site”, D-Lib Magazine, May 2003 Vol. 9 No.
5
[Chen, 2002] L.Q. Chen, X. Xie, X. Fan, W.Y. Ma, H.J. Zhang, and H.Q. Zhou;
Huanqing Feng, “DRESS: ABased Web Representation for Various Display Sizes”,
MSR-TR-2002-126, December 2002.
[Chen, 2003] Y. Chen, W.-Y. Ma, and H.-J. Zhang, “Detecting web pages structure for
adpative viewing on small form factor devices”, Proceedings of the Twelfth
International World Wide Web Conference, WWW2003, pp. 225-266, Budapest,
Hungary, May 20-24, 2003.
[DOM01] Document Object Model(DOM) – W3C Recommendation.
http://www.w3c.org/DOM
[Darren, 1996] Darren R., et. al. ,“Customized Information Extraction as a Basis for
70
Resource Discovery”, ACM Transactions on Computer Systems, 14(2), pp.171-199.
[Embley, 1999] Embley, D.W and Jiang, Y. and Ng, Y.K., “Record-Boundary
Discovery in Web Documents”, Proceeding of the 1999 ACM SIGMOD International.
[Feldman, 1997] Feldman, R., et al.,“Pattern Based Browsing in Document
Collections”, Proceedings of First European Symposium on Principles of Data Mining
and Knowledge Discovery, May 1997, pp.112-122.
[Guan, 1999] Guan, T. and Wong, K.F., “KPS: a Web Information Mining Algorithm”,
Proceedings of the Eighth International World Wide Web Conference, May 1999,
http://www8.org/w8-papers/4a-search-mining/kps/kps.html.
[GATE01] GATE(General Architecture for Text Engineering), http://gate.ac.uk
[Gupta, 2003] S. Gupta, G. Kaiser, D. Neistadt, and P. Grimm.,“DOM-based content
extraction of HTML documents”, Proceedings of the Twelfth International World
Wide Web Conference, WWW2003, pp. 207-214, Budapest, Hungary, May 20-24,
2003.
[HTML01] HTML 4.0 Specification - Index of Elements, W3C Recommendation,
revised on 24-Apr-1998. Latest version available
at :http://www.w3.org/TR/1998/REC-html40-19980424/index/elements.html
[Huang, 2000] A. W. Huang, N. Sundaresan. Aurora,” A Conceptual Model for
Web-Content Adaptation to Support the Universal Usability of Web-based Services”,
71
2000.
[Lin, 2002] S.-H. Lin and J.-M. Ho., “Discovering informative content blocks from
web documents”, Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining, pp. 588-593, Edmonton Alberta, Canada,
July 23-26, 2002.
[Learning XP01] Learning XP, http://www.learningdigital.com/wcms/
[Landauer, 1998] T.K. Landauer, P.W. Foltz, and D. Laham,”Introduction to latent
Semantic Analysis”, in Discourse Processes, vol.25, pp. 259-284, 1998.
[Miller, 2003] Miller, G. A., “WordNet: a lexical database for the English language,
http://www.cogsci.princeton.edu/~wn/, 2003.
[Paul, 2001] Paul Browning, University of Bristol, and Mike Lowndes, Natural
History Museum, London, “Content Management Systems”, Techwatch report TSW
01-02 September 2001.
[Shao, 2003] Shao, N.W.Y. Yang, S.J.H., Sue, A.Y.S.,“A Content Management System
for Adaptive Learning Environment”, IEEE International Conference on Multimedia
Software Engineering, Dec. 2003.
[Ramaswamy, 2004] L. Ramaswamy, A. lyengar, L. Liu, and F. Douglis.,“Automatic
detection of fragments in dynamically generated web pages”, Proceedings of the
Thirteenth International World Wide Web Conference, WWW2004, New York, USA,
72
May 17-22, 2004.
[Tool01] Digital Virtual Paper project,
www.research.digital.com/SRC/virtualpaper/home.html
[Tool02] Clean up your Web pages with HTML TIDY, W3C Recommendation. Latest
version available at : http://www.w3c.org/People/Raggett/tidy/
[Wang, 2002] J. Wang and F. H. Lochovsky.,“Data-rich section extraction from
HTML pages”, Proceedings of IEEE Computer Society 2002. 3rd International
Conference on Web Information Systems Engineering (WISE 2002), pp. 313-322,
Singapore, December 12-14, 2002.
[Yangarber, 2000] R. Yangarber and R. Grishman, "Machine Learning of Extraction
Patterns from Unannotated Corpora: Position Statement", Proceedings of the
Workshop Machine Learning for Information Extraction (14th European Conf.
Artiicial Intelligence), IOS Press, Amsterdam, 2000, pp. 76-83.
[Yulan, 2003] Yulan He, Siu Cheung Hui, Alvis Cheuk M. Fong, ”Citation-Based
Retrieval for Scholarly Publications”, IEEE Intelligent Systems, May 2003, 18(2):
58-65
[Yu, 2003] S. Yu, D. Cai, J.-R. Wen, and W.-Y. Ma.,”Improving pseudo-relevance
feedback in web information retrieval using web page segmentation”, Proceedings of
the Twelfth International World Wide Web Conference, WWW2003, pp. 11-18,
73
Budapest, Hungary, May 20-24, 2003.
[Yossef, 2002] Z. Bar-Yossef and S. Rajagopalan.,”Template detection via data
mining and its applications”, Proceedings of the Eleventh International World Wide
Web Conference, WWW2002, pp. 580-591,, Honolulu, Hawaii, USA, May 7-11,
2002.
[Yang, 2004] Yang S.J.H., Du V.M.Z., Shao, N.W.Y.,“Applying Personalized
Annotation Mechanism to e-Documentation”, IEEE International Conference on
e-Commerce Technology (CEC2004), Beijing, China.
指導教授 楊鎮華(Jenn-Hwa Yang) 審核日期 2005-7-6
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明