| 研究生: |
張勝凱 Chang, Sheng-Kai |
|---|---|
| 論文名稱: |
以本體論為基之知識驗證機制研發 Development of an Ontology-based Knowledge Verification Mechanism |
| 指導教授: |
陳裕民
Chen, Yuh-Min 陳育仁 Chen, Yuh-Jen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 製造工程研究所 Institute of Manufacturing Engineering |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 中文 |
| 論文頁數: | 88 |
| 中文關鍵詞: | 知識確認 、知識驗證 、知識管理 、本體論 |
| 外文關鍵詞: | Ontology, Knowledge Validation, Knowledge Verification, Knowledge Management |
| 相關次數: | 點閱:66 下載:1 |
| 分享至: |
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虛擬社群(Virtual Community)為企業創造、分享與運用知識最常見的互動管道。近年來,經驗知識擷取與保存之研究已逐漸成為知識管理重要的課題,然而這些研究鮮少顧及因不同來源的知識、每個人表達方式不同以及時間上的累積,造成知識在建構的過程中產生許多邏輯性的錯誤,而導致知識工作者迷失。
本研究主要目的為發展一以本體論為基之知識驗證機制研發,以提升知識的正確性(Accuracy),協助領域專家做出準確之判斷與修正,並利於使用者獲得具品質之知識,進而分享與激發社群成員創造新的知識。針對上述目標,本研究之研究項目包括: (1)設計一經驗知識管理模式,並進行知識驗證之角色定位;(2)以知識驗證角度分析虛擬社群成員之互動過程,並使用物件導向本體論(Object-Oriented Ontology)定義社群經驗知識所產生的差異性以及;(3)發展一經驗知識驗證方法,進行偵測新舊知識因差異性所產生的邏輯錯誤,並藉由領域專家進行確認與修改而得到具品質之知識。
Virtual community is a common interaction environment to create, share and use knowledge in enterprise. In recent years, experience knowledge capture and storage have become important issues in knowledge management. However, these studies seldom considered the fact of the heterogeneous knowledge resources, ambiguity knowledge expression and time accumulation. That causes a lot of logical mistakes during knowledge construction.
This study develops a mechanism for ontology-based knowledge verification to improve the accuracy of knowledge, and assist domain expert to make accurate judgment and revision. It can also help users get knowledge with quality, and then stimulate community members to create new knowledge. To achieve the above-mentioned goal, the tasks performed in this study include: (i) designing the empirical knowledge management model, and then defining the role for knowledge verification; (ii) analyzing the interaction status for community members, and using the Object-Oriented Ontology to define the difference of empirical knowledge and (iii) developing the empirical knowledge verification method to detect logical errors, and confirm and revise with domain expert in order to get the knowledge with quality.
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