| dc.contributor.advisor | 周濟群 | zh_TW |
| dc.contributor.author (Authors) | 陳言熙 | zh_TW |
| dc.creator (作者) | 陳言熙 | zh_TW |
| dc.date (日期) | 2006 | en_US |
| dc.date.accessioned | 18-Sep-2009 20:03:52 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 20:03:52 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 20:03:52 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0094353019 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/36891 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 會計研究所 | zh_TW |
| dc.description (描述) | 94353019 | zh_TW |
| dc.description (描述) | 95 | zh_TW |
| dc.description.abstract (摘要) | 本體論的目的在表達一個大家能共用分享的概念，且為知識表達的重要基礎，可用來協助電腦搜尋、交換資訊及了解文字。本體論的應用使網路上的資源都能夠透過電腦明確的被定義出來，使機器透過本體論語言的描述，了解自然語言，加強資料檢索效率並達到知識共享的效果。本體論建置的困難點主要是有太多不同專業領域的領域本體知識需要被定義，所以非常的耗力費時。為了加強建置效率，需要依賴系統化的方法論來進行建置本體工程，並驗證其品質。為了使電腦能夠理解人類語言，許多研究者透過文字探勘技術發展能讓電腦理解的電子詞典，經過分析後將詞典中的詞彙連結成語意網絡，並將語意網路將應用於各種不同的研究領域。因此，本研究嘗試利用文字探勘技術協助建置本體知識，而結論包含可利用文字探勘技術半自動化的協助建置公司治理議題詞庫、語意網路，及以公司治理語意網路作為建置本體知識的基礎，並經由建置方法的提出，將語意網路轉化為公司治理本體知識。 | zh_TW |
| dc.description.abstract (摘要) | The purposes of ontology are offering reusable and sharable concepts, and being the base of knowledge representation. It serves a smart way of information searching and exchanging, the resources on internet can easily defined, and computer can understand people’s natural language by the application of ontology, improving the efficiency of data indexing.In order to let computer understand natural language, many researchers have worked hard on electronic lexicons containing computer’s logic through text mining technology, by analyzing lexicons for finding out relative vocabularies and connecting them into a semantic network. Therefore, this research try to utilize text mining technology to support on ontology engineering, the results are developing a text mining technology to support the building of corporate governance’s lexicon and semantic network semi-automatically, and take corporate governance semantic network as the bases of ontology engineering, and introduce a method to turn semantic network into corporate governance ontology. | en_US |
| dc.description.tableofcontents | 目錄壹、緒論 1一、研究背景與動機 1二、研究目的 3三、研究範圍 3四、研究流程 4貳、 文獻探討 5一、語意網路 51、知網 62、WordNet 9三、文字探勘 111、中文斷詞 112、向量空間模型 14四、本體論 181、本體論的定義 192、本體論的基本架構 203、本體論的應用 214、本體論建置原則 225、本體論建置方法 236、本體論的結構化程度 26参、研究方法 28一、會計資訊系統研究 28二、研究方法架構 30三、詞典之建置 31四、中文斷詞之進行 33五、詞彙關係計算 34六、AUSSENAC-GILLES AND COLLEAGUES’ METHOD的應用 36七、語意結構分析 37肆、系統實作結果 38一、詞彙關係計算結果 38二、詞彙網路的形成 38三、建置公司治理本體知識 421、辨識結構相似概念群 432、定義中心—相關概念 443、發展階層關係 454、組織與調整 46伍、結論與建議 48一、研究結論 48二、研究限制 49三、研究建議 50參考文獻 52圖目錄圖1-1 研究流程架構 4圖2-1 語意網路檢索釋例 5圖2-2 醫生、患者及醫病等關係 7圖2-3 空間向量模型 15圖2-4 關鍵詞-文件矩陣 16圖2-5 知識擷取步驟 23圖2-6 本體論建構步驟 25圖2-7 本體論的結構化程度 26圖3-1 研究主題金字塔 29圖3-2 研究方法架構 31圖3-3 定義詞彙與釋義 32圖3-4 詞彙向量空間 34圖3-5 關鍵詞向量空間 35圖3-6 相似度計算 36圖4-1 公司治理語意網路 39圖4-2 內部控制語意網路 40圖4-3 企業風險管理語意網路 41圖4-4 本體知識建置步驟 43圖4-5 內部環境與控制環境網路結構圖 44圖4-6 與內部環境及控制環境具關係的概念群 45圖4-7 內部環境與控制環境之上下階層關係 46圖4-8 公司治理議題本體知識 47表目錄表2-1 程式的概念 6表2-2 知網描述關係 7表2-3 以CLUB為例的同義詞集 11表2-4 簡化詞類標記集表 13表2-5 詞性標注標記集 14表2-6 常見相似度計算公式 18表2-7 本體論定義 19表3-1 設計科學的研究典範架構 29 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0094353019 | en_US |
| dc.subject (關鍵詞) | 本體論 | zh_TW |
| dc.subject (關鍵詞) | 文字探勘 | zh_TW |
| dc.subject (關鍵詞) | 語意網路 | zh_TW |
| dc.subject (關鍵詞) | 公司治理議題 | zh_TW |
| dc.subject (關鍵詞) | ontology | en_US |
| dc.subject (關鍵詞) | text mining | en_US |
| dc.subject (關鍵詞) | semantic network | en_US |
| dc.subject (關鍵詞) | corporate governance | en_US |
| dc.title (題名) | 運用文字探勘技術協助建構公司治理本體知識 | zh_TW |
| dc.type (資料類型) | thesis | en |
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