臺灣博碩士論文加值系統

服務導向架構（Service Oriented Architecture，SOA）的概念已經愈來愈受到研究的重視，企業也逐漸的採用服務導向的思維來看待整個公司的整體，而網路服務（Web Service）應用系統是很適合用來實踐服務導向架構的一個軟體架構。企業本身營運所需的業務，透過服務導向的的概念，建置各式各樣本身所能提供的服務。由於企業營運的過程中，需要大量的服務來支援，隨著企業的成長網路服務的數量只會愈來越多，當這些服務大量的被建立出來之後，過多的服務會造成在服務管理以及選取上的負擔。
為了管理產生的這些大量服務，並且要以一個彈性的系統架構來讓這些服務在上面運作，在本研究中，我們剖析網路服務定義文件，擷取服務的名稱及輸出輸入資訊，進行編碼轉化為服務向量矩陣，透過自適應共振理論（Adaptive Resonance Theory）的學習機制，以物以類聚的特性，自動為系統中的服務做分群，產生數個服務聚類，協助服務的管理；並透過一個服務池（Service Pool）的概念，輔以入口網站的思維，以推薦系統（Recommendation System）的形式，建立一個彈性的架構，方便企業管理及使用營運所需的服務。

The conception of Service Oriented Architecture (SOA) becomes more and more important not only in research field. The industry field also gradually adapts SOA as its thought to apply on the companies. The Web Service Application System is a suitable software for the one who wants to adapt SOA framework. Using the concept of SOA, the enterprises construct their operation business into various providerable services. With the growth of enterprise, there are more and more demands on the internet service, which leads into a burden on service operation and selection.
We try to use an elastic system framework to manage this problem. In this research, we analyze the definition documents of internet service; try to get the service names and the information of input and output; transfer the code into the matrix; utilize the learning behavior of the Adaptive Resonance Theory to classify all services into groups to assist doing management. We also adapt the concept of Service pool with the idea of portal site to construct an elastic framework for the business management and operation in the way of Recommendation System.

中文摘要.....................................................................................................i
英文摘要.....................................................................................................ii
誌謝.............................................................................................................iii
目錄.............................................................................................................iv
表目錄.........................................................................................................vi
圖目錄.........................................................................................................vii
第一章 緒論..............................................................................................1
1.1研究背景與動機...........................................................................1
1.2研究目的......................................................................................3
1.3研究流程......................................................................................5
第二章 參考文獻......................................................................................7
2.1網路服務(Web Service)..............................................................7
2.1.1網路服務描述.....................................................................7
2.1.2網路服務的標準.................................................................10
2.1.3網路服務的優勢.................................................................12
2.1.4網路服務的關鍵價值.........................................................14
2.2類神經網路與自適應共振理論..................................................17
2.2.1類神經網路(Artificial Neural Network)......................17
2.2.2自適應共振理論(Adaptive Resonance Theory，ART)....20
2.3推薦系統(Recommendation System)..........................................28
2.3.1 推薦系統簡介....................................................................28
2.3.2 推薦方式...........................................................................29
第三章 研究方法......................................................................................33
3.1網路服務的分群...........................................................................33
3.1.1網路服務描述文件的擷取轉換...........................................33
3.1.2透過自適應共振理論網路進行服務的分群......................36
3.1.3聚類的命名.........................................................................38
3.2服務池架構的建立......................................................................38
3.2.1彈性的服務池架構.............................................................39
3.2.2服務群組與系統參與者的定義.........................................42
3.3系統架構......................................................................................43
第四章 系統實做......................................................................................48
4.1開發環境......................................................................................48
4.2系統資料庫..................................................................................49
4.3系統展示......................................................................................52
第五章 結論與未來展望..........................................................................62
5.1結論..............................................................................................62
5.2未來研究方向與建議...................................................................63
參考文獻.....................................................................................................64

書籍
1 林昇甫、洪成安，神經網路入門與圖樣辨識，台北，全華科技圖書股份有限公司，1996
2 葉怡城，類神經網路模式應用與實作，台北，儒林出版社出版，2001
3 Chappell, D. A. and Jewell, T.，Java Web Services，O、reilly，Mar 2002.
4 McLaughlin, B.，Java & XML, 2nd Edition: Solutions to Real-World Problems，O、Reilly & Associates，2001.
期刊論文
5 Balabanovic, Marko and Hoham，Fab: Content-Based, Collaborative Recommendation，Communications of ACM，1997
6 Barkai, D.，Peer-to-Peer Computing: Technologies for Sharing and Collaborating on the Net，Intel Press，2001
7 Booch, G.，The Visual Modeling of Software Architecture for the Enterprise，Rational Software Magazine，1998
8 Carlson, D.，Modeling XML Applications with UML: Practica e-Business Applications，Addison-Wesley pub.，2001
9 Carpenter, G.A.，Distributed learning, recognition, and prediction by ART and ARTMAP neural networks，Neural Networks，1977
10 Carpenter, G. A. and Grossberg, S.，The ART of adaptive pattern recognition by a self-organizing neural network，Computer，1988
11 Carprnter, G. A., and Grossberg, S.，The ART of Adaptive Pattern Recognition by Self-Organizing Neural Network，Computer，1988
12 Chakraborty, D., and Chen, H.，Service Discovery in the future for Mobile Commerce，Association for Computing Machinery（ACM） Crossroads，2000
13 Chien, L.F.，PAT-Tree-Based Keyword Extraction for Chinese Information Retrieval，Proceedings of the 1997 ACM SIGIR, Philadelphia，1998
14 Chien, L.F.，PAT-Tree-Based Adaptive Keyphrase Extraction forIntelligent Chinese Information Retrieval，Information Processing and Management，Elsevier Press，1998
15 Chung, Y., and Kusiak, A.，GT/ART: Using Neural Network to Form Machine Cells，Manufacture Review，1991
16 Grossberg, S.，Adaptive pattern classification and universal recoding, I: Parallel development and coding of neural feature detectors & II: Feedback, expectation, olfaction, and illusions，Biological Cybernetics，1976
17 Lieberman, H.，Autonomous Interface Agents，Proceedings of CHI、97, ACM Press，1997
18 Mooney, R. J. and Roy, L.，Content-Based Book Recommending Using Learning for Text Categorization，Proceedings of the 5th ACM Conference on Digital Libraries，2000
19 Magretta, J.，The Power of Virtual Integration: An Interview with Dell Computer、s Michael Dell，Harvard Business Review，1998
20 Markides, C.，Strategic Innovation in Established Companies，Sloan Management Review，1998
21 Mobasher, Bamshad, Dai, Honghua, Luo, Tao, and Nakagawa, Miki，Effective Personalization Based on Association Rule Discovery from Web Usage Data，The 3rd ACM Workshop on Web Information and Data Management，2001
22 Ng, H.T. , Goh, W.B. and Low, K.L.，Feature Selection, Perception Learning, and a Usability Case Study for Text Categorization，Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval，1997
23 Porter, M. E.，Competitive Advantage: Creating and Sustaining Superior Performance，The Free Press，1985
24 Porter, M. E.，Competitive Advantage of Nations，The Free Press，1990
25 Resnick, Paul and R.Varian，Recommender systems，Communication of ACM，1997
26 Resnick, Paul, Iacovou, Neophytos, Suchak, Mitesh, Bergstrom, Peter, and Riedl, John，GroupLens: An Open Architecture for Collaborative Filtering of Netnews，Proceedings of the CSCW 1994 conference，1994
27 Sarwar, B. M., Karypis, G., Konstan, J. and Riedl, J.，Analysis of Recommender Algorithms for E-Commerce，Proceedings of the 2nd ACME-Commerce Conference，2000
28 Schafer, J. Ben, Konstan, Joseph, and Riedl, John，Recommender System in E-Commerce，Proceedings of the first ACM conference on Electronic Commerce，1999
29 Shardanand, Upendra and Maes，Social Information Filtering: Algorithms for Automating “Word of Mouth”，ACM Press，1995
30 Sproat, R & Shih, C.，A statistical method for finding word boundaries in Chinese text，Computer Processing of Chinese & Oriental Languages，1990
31 Terveen, Loren, Hill, Will, Amento, Brian, McDonald, David, and Creter, Josh，PHOAKS: A System for Sharing Recommendations，Communications of ACM，1997
學位論文
32 王聖中，語法式中文斷詞之研究，碩士，私立淡江大學資訊工程研究所，1994
33 周永昌，ART類神經網路在群組技術上的應用，碩士，私立元智工學院工業工程研究所，1994
34 邱永祥，運用類神經網路與資料探勘技術於網路教學課程推薦之研究，碩士，朝陽科技大學資訊管理系研究所，2003
35 陳信嘉，類神經網路應用於群組技術之機器分群及工件分族，碩士論文，私立元智工學院工業工程研究所，1993
36 彭載衍，中文詞彙岐異之研究—斷詞與詞性標示，碩士，國立清華大學資訊科學研究所，1993
37 黃志福，結合自適應共振理論網路與行動代理人技術之適應性合作機制─求解群體機器人系統之物件探勘蒐整問題，碩士，朝陽科技大學資訊管理系研究所，2001
38 黃智育，資料探勘於即時線上推薦系統之應用研究，碩士，朝陽科技大學資訊管理系研究所，2002
39 楊允言，文件自動分類及其相似性排序，碩士，國立清華大學資訊科學研究所，1993
40 楊存一，利用自適應共振理論網路探討MIS學術論文關鍵議題的發展趨勢，碩士，國立雲林科技大學資訊管理研究所，2001
41 盧濟明，類神經網路應用於自動分群之研究，碩士，國立中央大學資訊及電子工程研究所，1990
42 蘇育霆，整合模糊理論與自適應共振理論II 神經網路於資料採礦之集群技術，碩士，國立台北科技大學生產系統工程與管理研究所，2001
43 顧皓光，網路文件自動分類，碩士，國立台灣大學資訊管理研究所論文，1997
網站
44 李清培，NET 研究室專欄：Web services 之規劃策略與設計模式–企業觀點http://www.microsoft.com/taiwan/msdn/columns/dotNETResearch/webservicesent_00.htm
45 BEA：2010年本地企業普及導入SOA
http://taiwan.cnet.com/news/software/0,2000064574,20107755,00.htm
46 Hailstone, R.，Web Services – Vision, Hype and Reality
http://www.idc.com"
47 IBM Web Services ZONE
http://www-106.ibm.com/developerworks/webservices/
48 Microsoft UDDI Service Registry
http://uddi.microsoft.com
49 Simple Object Access Protocol Specification
http://www.w3.org/TR/SOAP/
50 Universal Description, Discovery, and Integration Specification
http://www.uddi.org/
51 Web Service Definition Language Specification
http://www.w3.org/TR/wsdl/
其他
52 黃純敏、吳郁瑩，網路中文文件自動摘要，台灣區網際網路研討會TANET、99，國立中山大學承辦，1999