臺灣博碩士論文加值系統

隨著網際網路與全球資訊網的盛行，網路顯然已成為現今生活中的一部份。使用者不管在任何時間任何地點，皆可透過網路取得各式各樣的資訊，但是也因為網路資訊的豐富化及多樣化，使得資訊的取得並不是最大的問題，如何搜尋適用的資訊才是困難所在，而智慧型代理人具有彼此溝通、合作、談判、衝突解決的特性，能取代人工來完成繁雜工作，正確、快速、效率地執行指定的工作[31]，替我們在資訊過量的網路世界取得適用資訊。
『智慧型人機介面與資訊代理人服務平台』的構想，是透過模糊運算 ( Fuzzy set ) 模組對商品資料作分析，以幫助使用者用最直覺的方式作出最佳的決策及取得適用的資訊。在資訊代理人的系統規劃中，資料庫中的資料正確性是決定代理人提供有效資訊及分析的重要關鍵。因此，在本篇論文中，我們提出一個商品資料庫驗證機制，利用資料挖掘和統計分析的方法來分析各種可能的資料項目關係及語意，在資料的輸入過程中，對一些可能存在的錯誤資料提出警訊，提醒輸入者注意以降低儲存錯誤資料的機會。

As the Internet and World Wide Web become popular, the network has apparently been an important part of our daily lives. Network users can get various information without being limitedly time and space. The enrichment and variety of information in computer networks has brought the critical problem of applying the information from the ”the derivation of information” to “the search of proper information.” The characteristics of Intelligent agent, including communication, cooperation, negotiation, and conflict resolution, can help network users get useful information efficiently.
The design of information agent helps users get useful information and make best decisions in the intuitional way. To make sure that an information agent works correctly, correctness of data in the database plays an important role. In this paper, we propose the ontology of data integrity checking mechanism and apply data mining and statistics analysis methods to generate checking rules, which is capable of reducing the occurrences of incorrect data in the database.

摘要………………………………………………………………………………i
ABSTRACT………………………………………………………………………ii
誌謝………………………………………………………………………………iii
目錄………………………………………………………………………………iv
圖次………………………………………………………………………………vi
表次………………………………………………………………………………vii
第一章 緒論……………………………………………………………………1
1.1 研究動機…………………………………………………………1
1.2 研究目的…………………………………………………………2
1.3 論文架構…………………………………………………………2
第二章 相關研究………………………………………………………………4
2.1 智慧型代理人(Intelligent Agent)定義與特性……………………4
2.2 網路資訊搜尋架構………………………………………………6
2.3 智慧型網路商務代理系統架構…………………………………7
2.3.1 網路商務代理人應用模式………………………………8
2.3.2 智慧型網路商務代理人概念……………………………8
2.3.3 智慧型網路商務代理人系統架構………………………10
2.4 資料挖掘 ( Data Mining ) …………………………………………11
2.4.1 資料挖掘的定義與程序…………………………………12
2.4.2 關聯法則 ( Association rules) ……………………………13
2.4.3 群聚分組 ( Clustering ) ……………………………………15
2.4.4 統計方法 ( Statistics ) ……………………………………17
第三章 研究架構…………………………………………………………………20
3.1 系統架構……………………………………………………………20
3.2 關聯法則、群聚分組與統計方法的應用…………………………21
第四章 整合商品資料庫檢驗機制………………………………………………27
4.1 單一欄位的檢驗機制………………………………………………28
4.1.1 欄位型別……………………………………………………28
4.1.2 資料庫完整性規則…………………………………………29
4.1.3 合理範圍值的制定…………………………………………29
4.2 多個欄位關係的檢驗機制…………………………………………31
4.2.1 邏輯推論……………………………………………………31
4.2.2 數值關係……………………………………………………33
第五章 系統實作及檢驗規則……………………………………………………36
5.1 系統核心技術介紹…………………………………………………36
5.2 系統畫面……………………………………………………………39
5.3 檢驗規則……………………………………………………………44
第六章 結論及未來展望…………………………………………………………47
參考文獻……………………………………………………………………………49附錄A………………………………………………………………………………52

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