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研究生:張秀儀
研究生(外文):HSIU I
論文名稱:利用全國博碩士論文資料庫自動化建構知識來源映射圖
論文名稱(外文):Automatic Construction of Knowledge Source Map from Thesis Database
指導教授:陳年興陳年興引用關係
指導教授(外文):Nian Shing Chen
學位類別:碩士
校院名稱:國立中山大學
系所名稱:資訊管理學系研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:90
中文關鍵詞:知識來源映射圖專家專長知識管理專家知識知識映射圖
外文關鍵詞:Knowledge source mapsKnowledge mapsExpert knowledgeKnowledge management
相關次數:
  • 被引用被引用:10
  • 點閱點閱:336
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  • 下載下載:41
  • 收藏至我的研究室書目清單書目收藏:0
專家知識是知識管理上非常重要的部份,因此,如何得知哪些專家具有哪些知識,並如何聯繫專家則成了知識管理重要的課題。所以,本研究將利用自動化的方式建構學術界的知識來源映射圖(Knowledge source maps),提供使用者一個線上查詢的機制,以協助使用者了解專家的知識專長,釐清使用者對於專家知識專長的混淆與誤解,並進一步掌握專家知識且利用專家知識;且透過社會網路分析,建構人際關係網路,以提供一個與專家聯繫的人際管道。本研究所建構之知識來源映射圖,主要分為兩個部份:確認專家的專長與聯繫專家。其中,在確認專家的專長部份,分為專家知識分析、單位知識分析與領域知識分析;而聯繫專家部份則包含家族樹分析、自我中心網路分析及最短路徑分析。
Expert knowledge is an important issue in knowledge management, so how to understand who owned the knowledge that you need and how to touch the experts are important issue. The research is to structure Knowledge Source Map in academic circles by the automatic system and help users to understand the source and the structure of knowledge by querying with this system. Moreover, by this system, user won’t misunderstand experts’ knowledge, and further, they will hold the knowledge and make use of the knowledge. Otherwise, the system also structure communication networks among people by the analysis of social networks to provide a channel for users touching the experts. Therefore, the Knowledge Source Map system is divided into two parts, one is confirmation of the experts, and another is to search for the experts. The former includes analysis in experts, university and domain, and the latter includes family tree analysis, ego-centered networks and shortest path analysis.
一、前言 1
1.1研究動機 1
1.2研究目的 2
1.2.1確認專家的知識專長 2
1.2.2聯繫專家 3
1.3研究範圍 4
1.4論文架構 4
二、文獻探討 6
2.1知識映射圖(Knowledge maps) 6
2.2知識來源映射圖(Knowledge source maps) 8
2.3知識資產映射圖(Knowledge asset maps) 10
2.4社會網路分析 11
2.4.1社會網絡分析的單元 11
2.4.2社會網絡的結構特性 14
2.4.3社會網絡分析的種類 14
2.4.4社會網絡分析資料蒐集方法 16
2.5圖形理論及樹狀結構表示法 19
2.5.1圖形理論之分析與表示方法 20
2.5.2樹狀結構表示法 22
2.5.3最短路徑演算法 24
三、研究流程與基本假設 25
3.1研究流程 25
3.2研究基本假設 26
四、系統設計與實作 28
4.1系統架構與流程 28
4.1.1資料的蒐集 29
4.1.2資料的整合與比對 31
4.1.3關係的搜尋與呈現 32
4.2系統實作 33
4.2.1專家身分比對 33
4.2.2知識與專家關聯分析 35
4.2.3專家資訊整合 39
4.2.4人際關係分析 39
五、實驗設計與系統評估 45
5.1實驗假設 46
5.2實驗設計 46
5.2.1實驗的對象 46
5.2.2實驗的流程 47
5.2.3獎勵機制 48
5.3系統評估 49
六、系統呈現與實例分析 50
6.1確認專家的知識專長 50
6.1.1專家知識資產 50
6.1.2單位知識資產 52
6.1.3領域知識資產 54
6.1.4專家知識來源 56
6.1.5單位知識來源 59
6.1.6領域知識來源 60
6.2聯繫專家 62
6.2.1專家家族樹分析 62
6.2.2專家自我中心網路 65
6.2.3專家間最短路徑 67
七、結論 68
7.1研究意涵 68
7.2研究成果 69
7.3研究限制 70
7.4未來研究議題 71
參考文獻 73
中文參考文獻 73
英文參考文獻 73
附錄A:Dijkstra’s 演算法 76
附錄B:實驗題目與解答 78
中文參考文獻
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