Speciality mate under the Knowledge Broker theory for Management Research and Development Center
王啟燻、晁瑞明
E-mail: 9422442@mail.dyu.edu.tw
ABSTRACT
According to Knowledge Management Conception has known by most of the public, it has conducted the whole knowledge economy expansion. In hence, knowledge broker’s service has become mainstream in today’s market. In the past, knowledge broker center consult consumer issues that generally go through by knowledge brokers or specialists interview to the clients side at many times. During these interviews, it will focus on the client matter and scrutinized it to secure the specific category needs. When they positively realize what clients needs, they will assign the proper specialists to assist the client problem. It always need take time to locate the proper specialists to solve the issues and it needs huge amount labor to support the project, too. Due to this research, it has brought up one of the Knowledge Broker Service Center System; this system allows client use the natural language processing through net to request their main issue problems. It could automatically estimate client issue by key in the punctuateword, key word and categories of special classified file of the database to find out the right and proper special specialists to deal with the matter from the Knowledge Broker Center. After every matching process, the group of specialists will investigate the accuracy of the project they have deal with to become the future time database. Refer to the time-to-time experience, it could let every customers issue decode into the correct resolution to solve the issues.
Keywords : Knowledge Broker, Natural Language, Natural Language Processing, Word Segmentation, Fuzzy Theory Table of Contents
第一章 緒論... 1 1.1 研究背景與動機... 1 1.2 研究目 的... 3 1.3 研究範圍... 3 1.4 研究流
程... 5 第二章 文獻回顧... 6 2.1 知識市 場... 6 2.2 知識仲介者... 7 2.3 中文斷 詞... 12 2.3.1 斷詞的定義... 12 2.3.2 中文斷詞處 理... 13 2.4 模糊理論... 16 2.4.1 模糊集
合... 16 2.4.2 模糊語意... 19 2.5 文件自動分 類... 20 2.5.1 布林模式... 21 2.5.2 向量空間模 式... 22 2.5.3 機率模式... 24 2.5.4 TFIDF關鍵詞權重計 算... 25 第三章 系統設計... 27 3.1 詞庫蒐集模
組... 28 3.1.1 建立專業類別名稱... 29 3.1.2 蒐集樣本文 件... 29 3.1.3 樣本文件之斷詞處理... 30 3.1.4 篩選關鍵 詞... 31 3.1.5 計算關鍵詞權重... 33 3.2 問題分類模
組... 34 3.2.1 客戶問題之斷詞處理... 35 3.2.2 問題之模糊集合描 述... 37 3.2.3 專業類別判定... 39 3.3 專家配對模
組... 41 3.4 正確度調整模組... 42 第四章 系統實作與結果 分析... 44 4.1 系統開發環境... 44 4.2 系統前置作
業... 45 4.3 系統操作介面及功能說明... 48 4.3.1 帳號申 請... 49 4.3.2 申請人主畫面... 50 4.3.3 專家主畫 面... 54 4.3.4 管理者主畫面...57 4.4 實驗流程與結果分 析... 64 4.4.1 申請人註冊與填寫輔導申請表... 65 4.4.2 專家問卷調 查... 68 第五章 結論... 71 5.1 研究討
論... 71 5.2 未來研究方向... 74 參考文 獻... 75 附錄A... 79 附 錄B... 83 附錄C... 86 REFERENCES
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