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題名 利用關聯法則支援數位學習自動化檢索系統之設計
作者 劉豐榮
施百俊
朱建仁
張博堯
鄭義霖
謝孟庭
關鍵詞 搜尋引擎;數位學習;關聯法則;協同過濾
Search Engine;e-Learning;Association Rule;collaborative filtering;LDAP;JAXB
日期 2006
上傳時間 23-Oct-2017 14:56:54 (UTC+8)
摘要 從1990年初的Archie、Gopher到現在的Google、Yahoo等，隨著網際網路的發展，搜尋引擎的技術也日新月異。近年來，資料探勘的技術被廣泛的應用在資訊產業上，例如：資料分群(data clustering)、決策樹學習(decision tree learning)和關聯法則(association rule)等。此外，線上數位學習也隨著網路技術逐漸成熟而更加蓬勃發展，若能在數位學習中應用資料探勘技術的話，必然能使學習效果事半功倍。本系統期望整合LDAP與JAXB來降低搜尋系統開發時，對文字剖析的複雜度，透過分析使用者的搜尋記錄過濾出課程關鍵字及挖掘資料間的關聯法則，並將不同平台的教材資訊整合在同一伺服器中，以期增進學生學習功效及讓教材內容更為豐富。
Gopher tools at the beginning of 1990 to the present Google, Yahoo etc, along with the increasing development of Internet, the technologies of the search engine also change each passing day. In recent years, many searching engines have been implemented for the dedicated areas such as google image, medsite etc. But, it is still a big issue how to retrieve the valuable information to the individual from the explosive data refined by the searching engines. Thus, there are many techniques proposed for improving the searching results. Data mining is one of these proposed techniques. Currently, the technologies of data mining have been widely applied to the information-related industries, such as the data clustering, decision tree learning and association rule etc. In addition, e-learning gets more popular as well as the Internet technology becomes more mature. If adopting the concept of data mining to e-learning system, it will be good to make learning more efficient. Thus, we plan to utilize the techniques of LDAP and JAXB to reduce the load of development of search engine and the complexity of the learning contents parsing. Through analyzing the logs of users` searching behaviors, the keywords and the association among the learning materials for the users will be conducted or figured out. And then, we integrate with the related metadata of the learning materials in different platforms and maintain them in the dedicated server. We hope, with such the deployment, to achieve the goals of promoting the efficiency of studying and making the contents of the teaching materials more abundant.
關聯 TANET 2006 台灣網際網路研討會論文集
網際網路創意與應用
資料類型 conference
dc.creator (作者) 劉豐榮zh_TW
dc.creator (作者) 施百俊zh_TW
dc.creator (作者) 朱建仁zh_TW
dc.creator (作者) 張博堯zh_TW
dc.creator (作者) 鄭義霖zh_TW
dc.creator (作者) 謝孟庭zh_TW
dc.date (日期) 2006
dc.date.accessioned 23-Oct-2017 14:56:54 (UTC+8)-
dc.date.available 23-Oct-2017 14:56:54 (UTC+8)-
dc.date.issued (上傳時間) 23-Oct-2017 14:56:54 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113990-
dc.description.abstract (摘要) 從1990年初的Archie、Gopher到現在的Google、Yahoo等，隨著網際網路的發展，搜尋引擎的技術也日新月異。近年來，資料探勘的技術被廣泛的應用在資訊產業上，例如：資料分群(data clustering)、決策樹學習(decision tree learning)和關聯法則(association rule)等。此外，線上數位學習也隨著網路技術逐漸成熟而更加蓬勃發展，若能在數位學習中應用資料探勘技術的話，必然能使學習效果事半功倍。本系統期望整合LDAP與JAXB來降低搜尋系統開發時，對文字剖析的複雜度，透過分析使用者的搜尋記錄過濾出課程關鍵字及挖掘資料間的關聯法則，並將不同平台的教材資訊整合在同一伺服器中，以期增進學生學習功效及讓教材內容更為豐富。
dc.description.abstract (摘要) Gopher tools at the beginning of 1990 to the present Google, Yahoo etc, along with the increasing development of Internet, the technologies of the search engine also change each passing day. In recent years, many searching engines have been implemented for the dedicated areas such as google image, medsite etc. But, it is still a big issue how to retrieve the valuable information to the individual from the explosive data refined by the searching engines. Thus, there are many techniques proposed for improving the searching results. Data mining is one of these proposed techniques. Currently, the technologies of data mining have been widely applied to the information-related industries, such as the data clustering, decision tree learning and association rule etc. In addition, e-learning gets more popular as well as the Internet technology becomes more mature. If adopting the concept of data mining to e-learning system, it will be good to make learning more efficient. Thus, we plan to utilize the techniques of LDAP and JAXB to reduce the load of development of search engine and the complexity of the learning contents parsing. Through analyzing the logs of users` searching behaviors, the keywords and the association among the learning materials for the users will be conducted or figured out. And then, we integrate with the related metadata of the learning materials in different platforms and maintain them in the dedicated server. We hope, with such the deployment, to achieve the goals of promoting the efficiency of studying and making the contents of the teaching materials more abundant.
dc.format.extent 121289 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) TANET 2006 台灣網際網路研討會論文集zh_TW
dc.relation (關聯) 網際網路創意與應用zh_TW
dc.subject (關鍵詞) 搜尋引擎;數位學習;關聯法則;協同過濾zh_TW
dc.subject (關鍵詞) Search Engine;e-Learning;Association Rule;collaborative filtering;LDAP;JAXBen_US
dc.title (題名) 利用關聯法則支援數位學習自動化檢索系統之設計zh_TW
dc.type (資料類型) conference