博碩士論文 975202024 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:10 、訪客IP:35.173.234.237
姓名 張耕輔(Keng-Fu Chang)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 網頁內容叢集分類法之設計與實作
(Design and Implementation of Web Content Clustering)
相關論文
★ 移動代理人監控系統之設計與實作★ 以正規表式法為基礎之地理編碼服務設計與實作
★ Android應用程式開發之持續整合系統★ 基於設計矩陣之需求追溯關係建立方法
★ 點對點移動代理人之設計與實作與於車資通訊之應用★ 設計與實作於行動裝置上以XUL為基礎之介面呈現
★ Android平台上以OSGi為基礎之服務遞送★ 利用網頁內容結構之區塊擷取方法以呈現新聞服務
★ 設計與實作以感測器為中心的查詢機制★ 針對路徑規劃服務之Web 2.0系統設計與實作
★ 整合OSGi與RESTful服務之BPEL引擎★ 利用文件相似度以轉換網路內容為OSGi Bundles
★ 量測Java類別的耦合關係★ 轉換Android應用程式為OSGi Service
★ 物聯網應用之Context塑模方法★ 從資料到服務之事件驅動方法
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]   至系統瀏覽論文 ( 永不開放)
摘要(中) 仰賴於科技的進步,現今人們獲得資訊的方式已經跟以往大不相同,獲
取資訊的方法已經逐漸的從電腦主機轉移到手持系統上。電腦的瀏覽網頁
資訊的方式並不能完全套用到手持系統上,利用手持系統瀏覽一般為了桌
上型主機而做的網頁並不方便。
為此,本研究基於為了令使用者方便瀏覽一般網頁為出發點,希望能將
網頁內容經過適當的切割、重新賦予標題並進行叢集分類之後能更容易符
合手持系統的顯示及操作,以達到方便瀏覽之目的。
本研究將介紹本實驗室開發的Browsing Rendering System,其運作主要
方法是先透過Mediator 接收使用者瀏覽要求經過網頁內容經由Retriever 做
擷取動作、Extractor 做切割、整合最後利用Cluster 做叢集分類動作,回傳
給Mediator 後Mediator 將網頁叢集結果回傳給使用者。
摘要(英) Nowadays, more and more people are getting used to browsing the Internet
with hand-held devices such as mobile phones or PDAs. However, web pages
most often seen are designed for those devices with large screens such as PCs or
NBs. Thus, these web pages hardly fit into the small devices.
To facilitate wide adoption of hand-held devices for Internet access, we
provide a web content clustering mechanism and devise, a Browsing Rendering
System, so as to display and browse Web content in a better way. In this work, a
web page that is developed for rendering on devices with large screens can be
automatically parsed, re-organized, clustered and displayed on hand-held
devices.
關鍵字(中) ★ 動態網頁
★ 叢集
★ 網頁內容
關鍵字(英) ★ dynamic web page
★ web content
★ clustering
論文目次 摘要 i
ABSTRACT ii
目錄 iii
圖目錄 v
誌謝 vi
第一章、緒論 - 1 -
1.1引言 - 1 -
1.2動機 - 1 -
1.3論文架構 - 2 -
第二章、背景知識介紹 - 4 -
2.1 DOM - 4 -
2.2 HTML - 4 -
2.3 JavaScript - 5 -
2.4 CSS - 5 -
2.5 Dynamic web content - 6 -
2.6 WordNet及WordNet:: Similarity - 7 -
2.7 Longest common substring problem - 8 -
第三章、網頁內容叢集分類法之設計與實作 - 9 -
3.1 系統需求 - 9 -
3.2.1 使用者利用Browsing Rendering System取得網頁資訊之流程說明 - 11 -
3.2.2 使用者在Browsing Rendering System內與網頁互動之流程說明 - 12 -
3.4 主要元件介紹 - 14 -
3.4.1 Mediator - 14 -
3.4.1.1 元件分析 - 14 -
3.4.1.2 元件設計 - 14 -
3.4.2 Parser - 15 -
3.4.2.1 元件分析 - 15 -
3.4.2.2 元件設計 - 16 -
3.4.3 Extractor - 17 -
3.4.3.1 元件分析 - 17 -
3.4.3.2 元件設計 - 18 -
3.4.4 Cluster - 19 -
3.4.4.1 元件分析 - 19 -
3.4.4.2 元件設計 - 19 -
3.5 演算法 - 21 -
3.5.1 Web content segmentation algorithm - 21 -
3.5.2 Clustering Content Blocks Based on Similarity - 24 -
3.5.3 Modified Longest Common Substring - 25 -
第四章、案例分析 - 26 -
4.1 使用案例一:利用Browsing Rendering System觀看npr首頁 - 26 -
4.1.1 使用者執行步驟: - 26 -
4.1.2 系統結果 - 26 -
4.2 使用案例二:使用者開啟npr首頁後,繼續點擊了JavaScript連結 - 29 -
4.2.1 使用者執行步驟 - 29 -
4.2.2 系統結果 - 29 -
第五章、文獻探討 - 31 -
第六章、結論 - 34 -
6.1 貢獻 - 34 -
6.2 未來展望 - 34 -
參考文獻 - 36 -
參考文獻 1. Qinglin Guo, Cunbin Li, “The Research on the Application of Text Clustering and Natural Language Understanding in Automatic Abstracting” , FSKD, Pages: 92-96, IEEE Computer Society Washington, DC, USA, 2007
2. Karane Vieira, “A Fast and Robust Method for Web Page Template Detection and Removal” Conference on Information and Knowledge Management, Pages: 258 – 267, ACM, 2006
3. Stephen J.H. Yang, “A Service Supporting Universal Access to Mobile Internet with Unit of Information-Based Intelligent Content Adaptation” IEEE International Conference on Web Services, 2007
4. Chunying Kang, “DOM-based Web Pages to Determine the Structure of the Similarity Algorithm”, Proceedings of the 3rd international conference on Intelligent information technology application, Pages: 245-248 , IEEE Press Piscataway, NJ, USA, 2009
5. Jing Wang1,Zhijing Liu1, “A Novel Method for the Web page Segmentation And Identification”, ICCET, Pages: 229-231 , IEEE Computer Society Washington, DC, USA, 2009
6. Stephen J.H. Yang, “An Automatic Semantic Segment Detection Service for HTML Documents” Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1, Pages: 210-217 , IEEE Computer Society Washington, DC, USA, 2008
7. Shian-Hua Lin, Jan-Ming Ho, “Discovering Informative Content Blocks from Web Documents” International Conference on Knowledge Discovery and Data Mining, Pages: 588 - 593 , ACM New York, NY, USA, 2002
8. Vincenzo Loia, Witold Pedrycz, and Sabrina Senatore, “Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering” IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 15, NO. 6, 2007
9. Deng Cai, “VIPS: a Vision-based Page Segmentation Algorithm” Microsoft Research Asia, TechReport, Pages:28, 2003
10. Longzhuang Li, Yonghuai Liu, Abel Obregon, “Visual Segmentation-Based Data Record Extraction from Web Documents”, Information Reuse and Integration, 2007. IRI 2007, Pages: 502 – 507, IEEE, 2007
11. Pyungkwan Ko, Sanggil Kang, Harshit Kumar, “Web Page Dependent Vision Based Segmentation for Web Sites”, Computer and Information Science, 2008. ICIS 08. Pages: 690 – 694, IEEE, 2008
12. Gujjar Vineel, “Web Page DOM Node Characterization and its Application to Page Segmentation”, Internet Multimedia Services Architecture and Applications (IMSAA), Pages: 1 - 6, IEEE, 2009
13. Yuhua Li, David McLean, Zuhair A. Bandar, James D. O’Shea, and Keeley Crockett, “Sentence Similarity Based on Semantic Nets and Corpus Statistics”, Knowledge and Data Engineering, Pages: 1138 – 1150, IEEE Computer Society, 2006
14. J. Lee and Y.-Y. Fanjiang, “Modeling Imprecise Requirements with XML,” Information and Software Technology, Vol.45, No.7, pp. 445-460, 2003.
15. J. Lee and K.-H. Hsu, “Modeling Software Architectures with Goals in Virtual University Environment,” Information and Software Technology, Vol.44, No.6, pp. 361-380, 2002.
16. J. Lee, C.-L. Wu, W.-T. Lee, and K.-H. Hsu, “Aspect-Enhanced Goal-Driven Sequence Diagram,” Int. J. of Intelligent Systems, Vol.25, pp. 712-732, 2010.
17. J. Lee and N.-L. Xue, “Analyzing User Requirements by Use Cases, A Goal-Driven Approach,” IEEE Software, Vol.16, No.4, pp. 92- 101, 1999.
18. J. Lee, N.-L. Xue and J.-Y. Kuo, “Structuring Requirements Specifications with Goals,” Information and Software Technology, Vol.43, No.2, pp. 121-135, 2001.
19. W.-T. Lee,W.-Y. Deng, J. Lee, and S.-J. Lee, “Change Impact Analysis with a Goal-Driven Traceability-Based Approach,” Int. J. of Intelligent Systems, Vol.25, pp. 878-908, 2010.
20. W3C.DOM http://www.w3c.org/DOM/
21. Lobo browser http://lobobrowser.org/java-browser.jsp
22. HtmlUnit http://htmlunit.sourceforge.net/
23. WordNet http://wordnet.princeton.edu/wordnet/
24. JAVA WordNet::Similarity http://wn-similarity.sourceforge.net/
25. Wiki http://zh.wikipedia.org/
26. HTML4 http://www.w3.org/TR/REC-html40/
27. JavaScript http://www.w3schools.com/JS/default.asp
28. CSS http://www.w3schools.com/css/default.asp
指導教授 李允中(Jonathan Lee) 審核日期 2010-7-26
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