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研究生:吳承峰
研究生(外文):Cheng Feng Wu
論文名稱:基於標籤分析技術之個人化服務發掘機制
論文名稱(外文):A Personalized Services Discovery Mechanism based on Tag Analysis
指導教授:梅興梅興引用關係
指導教授(外文):Hsing Mei
學位類別:碩士
校院名稱:輔仁大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:108
中文關鍵詞:信賴聲譽通俗分類發掘網路服務標籤
外文關鍵詞:FSA (Folksonomy-based Service Advisor)TrustReputationFolksonomyWeb Services DiscoveryTagWeb2.0
相關次數:
  • 被引用被引用:2
  • 點閱點閱:195
  • 評分評分:
  • 下載下載:30
  • 收藏至我的研究室書目清單書目收藏:0
隨者網路服務機制的日益普及化,滿足各類使用者需求的網路服務與日俱增,反觀現今的標準網路服務搜尋仲介架構 UDDI (Universal Description Discovery and Integration) 所提供的搜尋服務却僅止於服務的全文檢索或是分類樹檢索,並無法產出個人化之精確搜尋結果。有鑑於此,本論文提出「使用者分類服務推薦架構 ( Folksonomy-based Service Advisor Model ) 」來改良服務仲介者的服務發掘程序, FSA係以通俗分類 (Folksonomy) 之標籤分析以及信賴(Trust) 關係分析為基礎,區分為三個階段的網路服務推薦及發掘程序,系統會主動推薦與使用者定義目標近似之服務,使用者亦可自行定義搜尋之關鍵字以及型態,以取得服務候選清單,本論文並提出三種不同型態之服務排序演算法,以產出符合個人化需求的排序結果,使用者可以動態呼叫選定的網路服務,並透過回饋機制執行服務之標籤(Tag)定義,從實作的結果分析顯示,我們所提出的網路服務推薦及候選服務排序演算法,可以有效改善UDDI之功能不足及搜尋成效不佳等問題。
With the growing popularity of an emerging Web Services technology, large number of Web Services has been developed to meet different requirements. Currently, the Web Services discovery standard UDDI (Universal Description Discovery Integration) supports only the keyword matching and service classification. It is difficult for individual developer to select a suitable web service. Personalized Web Services (or Web APIs) search is an important issue in future web application design. This thesis proposed a FSA framework (Folksonomy-based Service Advisor) based on user’s tagging and trust value analysis. User could tag the Web Services which have been registered on the private UDDI. Classification of Web Services is made by users/developers, but not by expert. Due to the ever-changing Tag information, the bottom-up Folksonomy-based classification is much close to the user’s concept. FSA framework will analyze the relationship among "Service Tagging"; "Reputation"; and "User’s Profile", and provide personalized Web Services recommendations.
第1章 緒論
1-1 研究背景
1-2 研究動機
1-3 研究目的
1-4 論文架構
第2章 文獻探討
2-1 網路服務
2-1-1 網路服務定義
2-1-2 服務導向架構
2-1-3 簡單物件存取協定
2-1-4 網路服務描述語言
2-1-5 通用描述發現整合
2-2 通俗分類
2-2-1 Web 2.0
2-2-2 通俗分類之標籤技術探討
2-3 發掘網路服務
2-3-1 UDDI發掘網路服務機制問題
2-3-2 發掘網路服務相關研究
第3章 系統流程與架構
3-1 FSA Model之發掘網路服務流程
3-1-1 主要假設
3-1-2 FSA Model之發掘網路服務方法
3-2 FSA Model之標籤定義對象
3-3 FSA Model之模組說明
3-3-1 服務建議與發掘模組
3-3-2 候選服務清單排序模組
3-3-3 網路服務動態呼叫及標籤定義模組
3-3-4 信賴資訊以及使用者相似資訊更新模組
第4章 候選服務排序演算法
4-1 Requester Similarity Based Ranking
4-1-1 使用者認知相似度排序
4-1-2 使用者開發背景相似度排序
4-2 Provider Trust Based Ranking
4-3 Service Based Ranking
4-3-1 服務重要程度排序
4-3-2 區段時間之服務熱門程度排序
4-3-3 服務新鮮度排序
4-3-4 服務搜尋契合度排序
第5章 系統實作與展示
5-1 FSA Model實作之開發環境與系統架構
5-2 FSA Model實作之建構流程
5-3 FSA Model實作之服務發掘情境
5-4 FSA Model實作之結果分析
第6章 結論與未來工作
6-1 結論
6-2 未來工作
參考文獻
[1]CLARK M., UDDI weather report (The Out Look is mixed), http:// www.webservicesarchitect.com/content/articles/clark04.asp
[2]Blake Shaw, Building a Better Folksonomy: Web-based Aggregation of Metadata, University of Columbia, 2005.
[3]Shuping R., “A Model for Web Services Discovery With QoS,” ACM SIGecom Exchanges, Volume 4, Issue 1, pp.1-10, 2003.
[4]W. Balke, M. Wagner, “Towards Personalized Selection of Web Services,” World Wide Web Conf (WWW 2003), Budapest, Hungary, 2003.
[5]W. Balke, M. Wagner, “Cooperative Discovery for User-Centered Web Service Provisioning,” Proceedings of ICWS, Las Vegas, USA, 2003.
[6]Le-Hung, QoS-based Service Selection and Ranking with Trust and Reputation Management, School of Computer and Communication Sciences Ecole Polytechnique Federale de Lausanne (EPFL) CH-1015 Switzerland, 2005.
[7]Tom Gruber, Ontology of Folksonomy: A Mashup of Apples and Oranges, tomgruber.org and RealTravel.com, 2006.
[8]J Heflin, MN Huhns, “The Zen of the Web,” IEEE Internet Computing September-October 2003, pp. 30-33, 2003.
[9]P Lars, How we can improve the Tags, http://pinds.com/articles/ 2005/01/23/folksonomies-how-we-can-improve-the-Tags
[10]Rick Wash, Public Bookmarks and Private Benefits: An Analysis of Incentives in Social Computing, School of Information, University of Michigan, 2007.
[11]Hsing-Mei, L.C.K., An Ontology Based Reliable Workflow System, Fujen Catholic University, 2005.
[12]Kirtland M., A Platform for Web Services, MSDN Online Web Workshop January, 2001.
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[14]McCright, Writing your First Web Service:A Tutorial, Web Services Journal June, 2001.
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[19]Francisco C., Matthew D., Rania K., William N., Nirmal M., and Sanjiva W., “Unraveling the Web Services Web : An Introduction to SOAP, and UDDI,” IEEEE Internet Compting, Volume 6, Issue 2, pp.68-93, 2002.
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[21]Tim O'Reilly, What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software, O'Reilly Media Inc, http://content.ndap.org.tw/main/doc_detail.php?doc_id=900
[22]Natenapa S., “Semantic Web Services Discovery Using Ontology Based Rating Model,” Proceedings of the 2006 ACM International Conference on Web Intelligence, pp.608-616, 2006.
[23]Smith G., Folksonomy: Social classification, http://atomiq.org/ archives/2004/08/folksonomy_social_classification.html
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[25]Ding Y., “Ontology: The enabler for the Semantic Web,” Journal of Information Science, pp.377-384. 2005.
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