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研究生: 丘婉儷
Chiou, Wan-Li
論文名稱: 利用修正式德爾菲法建立管理本體論之關係運算子-以主生產排程規劃為例
Applying the Modified Delphi Method to Implement the Relational Operators in Management Ontology—The Case of Master Production Schedule Planning Ontology
指導教授: 王泰裕
Wang, Tai-Yue
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理研究所
Institute of Information Management
論文出版年: 2006
畢業學年度: 94
語文別: 中文
論文頁數: 100
中文關鍵詞: 主生產排程規劃本體論關係子管理本體論修正式德爾菲法
外文關鍵詞: Modified Delphi Method, Management Ontology, Ontology Relation Operators, Master Production Schedule Planning.
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  • 由於知識管理時代來臨,本體論(ontology)的盛行,針對不同領域皆有其專屬本體論,以幫助使用者去互相分享和共同理解該領域知識,然而現今一般在建立本體論時,仍主要在於將知識中不同的概念抽取出來建成物件,並定義物件內的屬性,透過屬性來間接定義概念之間關係,卻很少直接將不同概念(classes)間或是不同案例(instances)間關係,甚而不同本體論間關係明確定義出來,因此,在本研究中,將利用修正式德爾菲法直接把不同知識項目間的關係運算子定義出來,去連結之間的關係,並假設管理層面下應具有不同階層關係的本體論,不同階層本體論中會具有不同關係運算子,階層較高本體論的關係運算子在階層較低的本體論中亦可使用。本研究以最基本單元-管理層面本體論中生產管理內的主生產排程規劃領域,以修正式德爾菲法探討其本體論中不同項目間關係運算子。透過關係運算子的建立可增進本體論的完整性及整合性,來幫助未來此領域專家可建立更完善的本體論,並讓此本體論的使用者可快速了解此領域知識,此本體論的管理者未來可更方便維護。
    本研究在實作方面,將透過ontology建立工具:Protégé 3.1.1,以Java為程式語言開發工具,撰寫其關係運算子外掛模組,使知識工程師在建立主生產排程規劃領域本體論時,可利用此模組去建立不同概念或不同案例間關係,並可讓使用者透過此模組,直接對這些關係更了解,最後從建立、測試與實際執行系統的過程,對本研究做出結論,並對未來可延伸或是改進地方提出建議。

    Different ontologies are specifically applicable to different domains in order to help the users to share their domain knowledge as the knowledge management is blooming in these days. However, most researchers usually create classes for the concepts of the domain, define the properties of the classes, and set the relations among concepts indirectly via these properties when developing their ontology. They seldom define the relations directly among classes, instances, and ontologies.
    In this research, we apply Modified Delphi Method to define the relational operators among knowledge items directly. These relational operators, on one hand, will link the relationship among knowledge items. And the relational operators, on the other hand, provide the foundation of management ontology. We assume that there exists different ontology under different management levels. And different relational operators are needed for different ontologies in each management levels. Thus, the relational operators of high level ontology can be used in lower level ontology. The Master Production Schedule Planning is used as the production management domain to develop the relational operators of the ontology. These relational operators can improve the integration of ontology, help the domain experts to build more complete ontology, and make the users understand the domain knowledge more quickly.
    Specifically, we use Protégé 3.1.1 as an ontology-developing environment and Java is used as a program-developing tool to implement the relational operator plug-in for protégé. When the knowledge engineers develop Master Production Schedule Planning ontology, they can use the plug-in to implement relations among concepts or instances. And users can understand these relations thoroughly.

    目錄 摘要 I ABSTRACT II 誌謝 III 目錄 IV 表目錄 VI 圖目錄 VII 第一章 緒論 1 第一節 研究動機 1 第二節 研究目的 1 第三節 研究範圍及限制 2 第四節 研究方法與架構 2 第五節 論文大綱 4 第二章 文獻探討 5 第一節 內隱知識的擷取方法 5 第二節 德爾菲法 11 第三節 本體論 15 第四節 本體論關係子 18 第五節 管理層面知識管理 29 第六節 小結 33 第三章 關係運算子建構方法 35 第一節 研究設計流程架構 35 第二節 準備階段 38 第三節 問卷設計 40 第四節 實際驗證 44 第五節 小結 45 第四章 問卷設計及實證 46 第一節 問卷設計 46 第二節 主生產排程規劃本體論建立 56 第三節 系統實作及驗證 61 第四節 小結 70 第五章 結論與建議 71 第一節 結論 71 第二節 建議及未來研究 72 參考文獻 74 附錄一 79 附錄二 90 表目錄 表2-1 內隱知識與外顯知識的來源 6 表2-2 六種不同部分關係以及其性質限制 21 表4-1 第二回合問卷結果 50 表4-2 第三回合問卷結果 53 表4-3 第三回合問卷穩定度分析 53 表4-4 第四回合問卷結果 55 表4-5 第四回合問卷穩定度分析 55 圖目錄 圖1-1 研究架構流程圖 3 圖2-1 德爾菲法流程圖 14 圖2-2 ONTOLOGY的類型 18 圖2-3 空間彼此間關係之示意圖 25 圖2-4 TRANSFORMATION_OF 26 圖2-5 三種不同的衍生關係(A) 延續 (B) 融合 (C) 分裂 26 圖2-6 T FIRST_INSTANT P 28 圖2-7 T LAST_INSTANT P 28 圖2-8 P IMMEDIATELY_PRECEDED_BY P1 28 圖2-9 資訊的三個維度 31 圖2-10 生產排程中的五大概念 33 圖3-1 建構主生產排程規劃本體論關係運算子流程圖 37 圖3-2 管理層面本體論相對階層關係圖 39 圖3-3 建構主生產排程規劃本體論關係運算子(問卷設計流程圖) 40 圖3-4 PRECEDED_BY 示意圖 43 圖3-5 建構主生產排程規劃本體論關係運算子(實際驗證流程圖) 44 圖4-1 MSE ONTOLOGY內主要類別 57 圖4-2 主生產排程規劃本體論類別圖 60 圖4-3 主生產排程規劃本體論案例圖 61 圖4-4 關係運算子模組架構圖 62 圖4-5 PROTÉGÉ 3.1.1系統畫面圖 63 圖4-6 關係查詢介面圖 63 圖4-7 聚集關係運算子圖 65 圖4-8 拆解關係運算子圖(ㄧ) 66 圖4-9 拆解關係運算子圖(二) 67 圖4-10 混合關係運算子圖 68 圖4-11 暗示關係運算子圖 69 圖4-12 處於…之前關係運算子圖 70

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