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題名 協同式數位內容設計服務市場 – 以語意為基礎之遺傳法優化模糊機構設計
Semantic- Based Digital Content Design in Collaborative Service Marketplace
作者 吳彥成
Wu,Yen Cheng
貢獻者 苑守慈
Yuan, Soe Tsyr
吳彥成
Wu,Yen Cheng
關鍵詞 服務科學
數位內容
語意網路
模糊基因演算法
service science
digital content
semantic web
fuzzy genetic algorithm
日期 2006
上傳時間 18-Sep-2009 20:15:49 (UTC+8)
摘要 科技進步使人類生活不斷改善,產業的發展逐漸轉變,服務業的崛起已成為世界趨勢。在資訊科技的推動下,服務業除了關注人與人的互動與商業的交換之外,科技漸漸成為另一個重要因素,服務產業的核心轉為由科技、人、及商業流程所組成,新的科學理論─「服務科學」應運而生。服務科學的目的在整合各領域之知識以促進服務創新。另一方面,服務產業的重要成員─數位內容產業正迅速發展,在數位內容創作領域中,消費者與生產者角色逐漸模糊,成為協同互利的夥伴,這樣的轉變衍生許多新的問題有待解決,包括夥伴關係如何建立與平台機制的發展等。因此,透過服務科學解決數位內容產業的問題,當是一項值得採用之方法。本研究透過服務科學的三個面向─服務組成、服務流程、以及服務價值作為研究的背景架構,並採用結合語意網路、模糊規則、基因演算法所組成之語意式模糊基因演算法作為數位內容問題的解決方案,在電子市集的環境推動下,以協同式夥伴配對的方式,達到使用者的創作利益。系統共分三大服務組成:本體發展模組、語意式模糊基因演算夥伴配對模組、以及協同價值評價模組,以語意定義創作問題與產品的概念,並透過基因演算法改善模糊規則,釐清概念間的關係,最後透過市場機制完成配對達成雙方利益。本系統之預期貢獻分為:(1)利用服務科學改善數位內容問題。(2)為服務科學方法之應用提供發展方向。
The economies of the world have been shifting labor from agriculture and manufacturing into services. In the emergent concept of service science, competition will center on value co-creation experiences with information technology and service innovation refers to invented service system designs yielding values to real service problems. This paper presents a novel service system design for the digital content industry. This service design is unfolded with a marketplace featuring producers/consumers collaboratively co-creating digital contents and a self-regulating mechanism enabled by a semantic-based fuzzy genetic approach. In the marketplace, the roles of consumers and producers blur, and they are partners who collaborate to attain mutual benefits. The service system encompasses three service components (ontology developer, S-FGA partnership matcher and co-created value appraiser) that altogether work to empower producers/consumers who can effectively co-create their digital contents in a novel collaborative way. In addition to presenting a solution to digital content creation, this paper also showcases a new methodology for service innovation referred in service science.
參考文獻 [1]. 吳思華(2001),“知識資本在台灣”,源流出版社,頁次:13-50。
[2]. 周樹林、陳樺誼(2005),“數位內容應用發展趨勢前瞻”,經濟部產業焦點評論。
[3]. 陳嘉文(1997),“模糊邏輯理論簡介”,元智大學機械工程研究所碩士論文。
[4]. 項潔等(2002),“數位典藏創意加值應用之初探”,資訊與教育雜誌,91期,頁次:10-16。
[5]. 劉世南、郭誌光(2001),“創造力的概念與定義”,資優教育季刊,81期,頁次:1-7。
[6]. Amabile, T. M. (1988) “A model of creativity and innovation in organization,” Research in Organizational Behavior, Vol. 10, pp.123-167.
[7]. Bakos, J.Y. (1991) “A Strategic Analysis of Electronic Marketplaces,” MIS Quarterly, Vol. 15(3), pp. 295-310.
[8]. Chesbrough, H. and Spohrer, J. (2006) “A Research Manifesto for Services Science,” Communications of the ACM, 49(7), pp.35-40.
[9]. Gandon, F. (2006) “Web services in corporate semantic Webs,” W3C Web Services event in Europe, http://www.w3.org/2006/Talks/WS-corporateWeb_INRIA.pdf.
[10]. Hui, K. L. and Chau, P. Y. K. (2002) “Classifying Digital Products,” Communication of the ACM, 45(6), pp. 72-80.
[11]. Hellmann, M. (2001) “Fuzzy Logic Introduction,” http://www.fpk.tu-berlin.de/~anderl/epsilon/fuzzyintro4.pdf
[12]. IBM Research (2004) “Services science: A new academic discipline,” pp.14-32.
[13]. Jantzen, J. (1998) “Tutorial On Fuzzy Logic,” Technical University of Denmark, Technical Report, http://www.iau.dtu.dk/~jj/pubs/logic.pdf
[14]. Kurbel, K. and Loutchko, I. (2001) “A Framework for Multi-agent Electronic Marketplaces: Analysis and Classification of Existing Systems,” Proceedings of the International ICSC Congress on Information Science Innovations (ISI`01), American University in Dubai, pp. 335-340.
[15]. Klemperer, P. (1999) “Auction theory: A guide to the literature,” Journal of Economic Surveys, 13(3), pp. 227-286.
[16]. Manola, F. and Miller, E. (2004) “RDF Primer,” W3C Recommendation. http://www.w3.org/TR/rdf-primer/
[17]. Mazancourt, C. de, Loreau, M.and Dieckmann, U. (2005) “Understanding mutualism when there is adaptation to the partner,” Journal of Ecology, Vol. 93, pp. 305-314.
[18]. Negroponte, N.(1995) “Being Digital,” Cyberdock, pp. 3-20.
[19]. Papazoglou, M. P. and Georgakopoulos, D. (2003) ”Service-Oriented Computing,” Communications of the ACM, 46(10), pp.24-28.
[20]. Shadbolt, N., Berners-Lee, T. and Hall, W. (2006) “The Semantic Web Revisited,” IEEE Intelligent Systems, 21(3), pp. 96-101.
[21]. Shabajee, Paul, McBride, D., Steer, D. and Reynolds, D. (2006) “A prototype Semantic Web-based digital content exchange for schools in Singapore,” British Journal of Educational Technology, 37(3), pp. 461-477.
[22]. Srinivas, M. and Patnaik, L. M. (1994) “Genetic Algorithms: A survey,” Computer, pp.17-26.
[23]. Simon, H. A. (1969). The Sciences of the Artificial (First Edition) MIT Press, pp.51-83.
[24]. Smith, A., Verma, K., and Gomadam, K. (2006) “Semantics to Energize the Full Services Spectrum,” Communications of the ACM, 49(7), pp. 55-61.
[25]. Tien, J. M. and Daniel B. (2003) “A case for service systems engineering,” Journal of Systems Science and Systems Engineering, 12(4): pp. 13-38.
[26]. Tung, W. F. and Yuan, S. T. (2007) “iDesign:An Intelligent Design Framework for Service Innovation,” Proceedings of IEEE Hawaii International Conference on System Science (HICSS-40), Jan 3-7, Hawaii, USA.
[27]. Tung, W. F. and Yuan, S. T. (2007) “Optimization of Collaborative Service Systems Using Experience Evaluation Model,” Proceedings of IEEE 2007 International Conference on Services Computing, July 9-13, Utah, USA.
[28]. Yuan, Y. and Zhuang, H. (1996) “A genetic algorithm for generating fuzzy classification rules,” Fuzzy Sets and Systems, 84(1), pp. 1-19.
[29]. Zadeh, L. A (1965) “Fuzzy sets,” Informat Control, Vol. 8, pp. 338-353.
[30]. The CD Data Base http://www.gracenote.com/
[31]. 滾石可樂 http://www.rockacola.com
[32]. ID3 Tags http://www.id3.org/
描述 碩士
國立政治大學
資訊管理研究所
94356023
95
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0943560231
資料類型 thesis
dc.contributor.advisor 苑守慈zh_TW
dc.contributor.advisor Yuan, Soe Tsyren_US
dc.contributor.author (Authors) 吳彥成zh_TW
dc.contributor.author (Authors) Wu,Yen Chengen_US
dc.creator (作者) 吳彥成zh_TW
dc.creator (作者) Wu,Yen Chengen_US
dc.date (日期) 2006en_US
dc.date.accessioned 18-Sep-2009 20:15:49 (UTC+8)-
dc.date.available 18-Sep-2009 20:15:49 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 20:15:49 (UTC+8)-
dc.identifier (Other Identifiers) G0943560231en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36954-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 94356023zh_TW
dc.description (描述) 95zh_TW
dc.description.abstract (摘要) 科技進步使人類生活不斷改善,產業的發展逐漸轉變,服務業的崛起已成為世界趨勢。在資訊科技的推動下,服務業除了關注人與人的互動與商業的交換之外,科技漸漸成為另一個重要因素,服務產業的核心轉為由科技、人、及商業流程所組成,新的科學理論─「服務科學」應運而生。服務科學的目的在整合各領域之知識以促進服務創新。另一方面,服務產業的重要成員─數位內容產業正迅速發展,在數位內容創作領域中,消費者與生產者角色逐漸模糊,成為協同互利的夥伴,這樣的轉變衍生許多新的問題有待解決,包括夥伴關係如何建立與平台機制的發展等。因此,透過服務科學解決數位內容產業的問題,當是一項值得採用之方法。本研究透過服務科學的三個面向─服務組成、服務流程、以及服務價值作為研究的背景架構,並採用結合語意網路、模糊規則、基因演算法所組成之語意式模糊基因演算法作為數位內容問題的解決方案,在電子市集的環境推動下,以協同式夥伴配對的方式,達到使用者的創作利益。系統共分三大服務組成:本體發展模組、語意式模糊基因演算夥伴配對模組、以及協同價值評價模組,以語意定義創作問題與產品的概念,並透過基因演算法改善模糊規則,釐清概念間的關係,最後透過市場機制完成配對達成雙方利益。本系統之預期貢獻分為:(1)利用服務科學改善數位內容問題。(2)為服務科學方法之應用提供發展方向。zh_TW
dc.description.abstract (摘要) The economies of the world have been shifting labor from agriculture and manufacturing into services. In the emergent concept of service science, competition will center on value co-creation experiences with information technology and service innovation refers to invented service system designs yielding values to real service problems. This paper presents a novel service system design for the digital content industry. This service design is unfolded with a marketplace featuring producers/consumers collaboratively co-creating digital contents and a self-regulating mechanism enabled by a semantic-based fuzzy genetic approach. In the marketplace, the roles of consumers and producers blur, and they are partners who collaborate to attain mutual benefits. The service system encompasses three service components (ontology developer, S-FGA partnership matcher and co-created value appraiser) that altogether work to empower producers/consumers who can effectively co-create their digital contents in a novel collaborative way. In addition to presenting a solution to digital content creation, this paper also showcases a new methodology for service innovation referred in service science.en_US
dc.description.tableofcontents 第一章 緒論 1
第1節 研究背景 1
第2節 研究動機 2
第3節 研究問題 5
第4節 研究目的與預期貢獻 6
第5節 研究流程 8
第二章 文獻探討 9
第1節 數位內容與語意網路 9
第2節 模糊規則基因演算法 15
第3節 電子市集 19
第4節 服務科學理論架構 21
第5節 總結 24
第三章 研究方法 25
第1節 環境說明與系統架構 26
第2節 Ontology Developer 28
第3節 S-FGA Partnership Matcher 34
3.1 Fuzzy Rules Generator 41
3.2 Partnership Matcher 57
第4節 Co-created Value Appraiser 61
4.1 User Goal Recognizer 62
4.2 General Appraisal Collector 65
第5節 總結 67
第四章 實驗設計與結果 68
第1節 實驗情境設計 68
第2節 實驗目的與評估方式 73
第3節 實驗結果評估 80
第五章 系統架構 92
第1節 服務導向架構 92
第2節 服務組成與代理人 93
第3節 代理人協作流程: 96
第4節 系統畫面展示 103
第六章 結論與未來研究方向 107
第1節 結論 107
第2節 本研究之現有限制 111
第3節 未來研究方向 111
附錄:iDesign for Service Innovation Underlying E-QUAL 113
第1節 共生關係 114
第2節 目標設定 116
第3節 iDesign e-Services分類架構 116
第4節 Experience Quality (E-QUAL): 119
第5節 E-QUAL服務績效改善 125
第6節 總結 127
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0943560231en_US
dc.subject (關鍵詞) 服務科學zh_TW
dc.subject (關鍵詞) 數位內容zh_TW
dc.subject (關鍵詞) 語意網路zh_TW
dc.subject (關鍵詞) 模糊基因演算法zh_TW
dc.subject (關鍵詞) service scienceen_US
dc.subject (關鍵詞) digital contenten_US
dc.subject (關鍵詞) semantic weben_US
dc.subject (關鍵詞) fuzzy genetic algorithmen_US
dc.title (題名) 協同式數位內容設計服務市場 – 以語意為基礎之遺傳法優化模糊機構設計zh_TW
dc.title (題名) Semantic- Based Digital Content Design in Collaborative Service Marketplaceen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1]. 吳思華(2001),“知識資本在台灣”,源流出版社,頁次:13-50。zh_TW
dc.relation.reference (參考文獻) [2]. 周樹林、陳樺誼(2005),“數位內容應用發展趨勢前瞻”,經濟部產業焦點評論。zh_TW
dc.relation.reference (參考文獻) [3]. 陳嘉文(1997),“模糊邏輯理論簡介”,元智大學機械工程研究所碩士論文。zh_TW
dc.relation.reference (參考文獻) [4]. 項潔等(2002),“數位典藏創意加值應用之初探”,資訊與教育雜誌,91期,頁次:10-16。zh_TW
dc.relation.reference (參考文獻) [5]. 劉世南、郭誌光(2001),“創造力的概念與定義”,資優教育季刊,81期,頁次:1-7。zh_TW
dc.relation.reference (參考文獻) [6]. Amabile, T. M. (1988) “A model of creativity and innovation in organization,” Research in Organizational Behavior, Vol. 10, pp.123-167.zh_TW
dc.relation.reference (參考文獻) [7]. Bakos, J.Y. (1991) “A Strategic Analysis of Electronic Marketplaces,” MIS Quarterly, Vol. 15(3), pp. 295-310.zh_TW
dc.relation.reference (參考文獻) [8]. Chesbrough, H. and Spohrer, J. (2006) “A Research Manifesto for Services Science,” Communications of the ACM, 49(7), pp.35-40.zh_TW
dc.relation.reference (參考文獻) [9]. Gandon, F. (2006) “Web services in corporate semantic Webs,” W3C Web Services event in Europe, http://www.w3.org/2006/Talks/WS-corporateWeb_INRIA.pdf.zh_TW
dc.relation.reference (參考文獻) [10]. Hui, K. L. and Chau, P. Y. K. (2002) “Classifying Digital Products,” Communication of the ACM, 45(6), pp. 72-80.zh_TW
dc.relation.reference (參考文獻) [11]. Hellmann, M. (2001) “Fuzzy Logic Introduction,” http://www.fpk.tu-berlin.de/~anderl/epsilon/fuzzyintro4.pdfzh_TW
dc.relation.reference (參考文獻) [12]. IBM Research (2004) “Services science: A new academic discipline,” pp.14-32.zh_TW
dc.relation.reference (參考文獻) [13]. Jantzen, J. (1998) “Tutorial On Fuzzy Logic,” Technical University of Denmark, Technical Report, http://www.iau.dtu.dk/~jj/pubs/logic.pdfzh_TW
dc.relation.reference (參考文獻) [14]. Kurbel, K. and Loutchko, I. (2001) “A Framework for Multi-agent Electronic Marketplaces: Analysis and Classification of Existing Systems,” Proceedings of the International ICSC Congress on Information Science Innovations (ISI`01), American University in Dubai, pp. 335-340.zh_TW
dc.relation.reference (參考文獻) [15]. Klemperer, P. (1999) “Auction theory: A guide to the literature,” Journal of Economic Surveys, 13(3), pp. 227-286.zh_TW
dc.relation.reference (參考文獻) [16]. Manola, F. and Miller, E. (2004) “RDF Primer,” W3C Recommendation. http://www.w3.org/TR/rdf-primer/zh_TW
dc.relation.reference (參考文獻) [17]. Mazancourt, C. de, Loreau, M.and Dieckmann, U. (2005) “Understanding mutualism when there is adaptation to the partner,” Journal of Ecology, Vol. 93, pp. 305-314.zh_TW
dc.relation.reference (參考文獻) [18]. Negroponte, N.(1995) “Being Digital,” Cyberdock, pp. 3-20.zh_TW
dc.relation.reference (參考文獻) [19]. Papazoglou, M. P. and Georgakopoulos, D. (2003) ”Service-Oriented Computing,” Communications of the ACM, 46(10), pp.24-28.zh_TW
dc.relation.reference (參考文獻) [20]. Shadbolt, N., Berners-Lee, T. and Hall, W. (2006) “The Semantic Web Revisited,” IEEE Intelligent Systems, 21(3), pp. 96-101.zh_TW
dc.relation.reference (參考文獻) [21]. Shabajee, Paul, McBride, D., Steer, D. and Reynolds, D. (2006) “A prototype Semantic Web-based digital content exchange for schools in Singapore,” British Journal of Educational Technology, 37(3), pp. 461-477.zh_TW
dc.relation.reference (參考文獻) [22]. Srinivas, M. and Patnaik, L. M. (1994) “Genetic Algorithms: A survey,” Computer, pp.17-26.zh_TW
dc.relation.reference (參考文獻) [23]. Simon, H. A. (1969). The Sciences of the Artificial (First Edition) MIT Press, pp.51-83.zh_TW
dc.relation.reference (參考文獻) [24]. Smith, A., Verma, K., and Gomadam, K. (2006) “Semantics to Energize the Full Services Spectrum,” Communications of the ACM, 49(7), pp. 55-61.zh_TW
dc.relation.reference (參考文獻) [25]. Tien, J. M. and Daniel B. (2003) “A case for service systems engineering,” Journal of Systems Science and Systems Engineering, 12(4): pp. 13-38.zh_TW
dc.relation.reference (參考文獻) [26]. Tung, W. F. and Yuan, S. T. (2007) “iDesign:An Intelligent Design Framework for Service Innovation,” Proceedings of IEEE Hawaii International Conference on System Science (HICSS-40), Jan 3-7, Hawaii, USA.zh_TW
dc.relation.reference (參考文獻) [27]. Tung, W. F. and Yuan, S. T. (2007) “Optimization of Collaborative Service Systems Using Experience Evaluation Model,” Proceedings of IEEE 2007 International Conference on Services Computing, July 9-13, Utah, USA.zh_TW
dc.relation.reference (參考文獻) [28]. Yuan, Y. and Zhuang, H. (1996) “A genetic algorithm for generating fuzzy classification rules,” Fuzzy Sets and Systems, 84(1), pp. 1-19.zh_TW
dc.relation.reference (參考文獻) [29]. Zadeh, L. A (1965) “Fuzzy sets,” Informat Control, Vol. 8, pp. 338-353.zh_TW
dc.relation.reference (參考文獻) [30]. The CD Data Base http://www.gracenote.com/zh_TW
dc.relation.reference (參考文獻) [31]. 滾石可樂 http://www.rockacola.comzh_TW
dc.relation.reference (參考文獻) [32]. ID3 Tags http://www.id3.org/zh_TW