研究生: |
王忠祥 Chung-Hsiang Wang |
---|---|
論文名稱: |
應用本體論設計與建置PDF格局的知識文件摘要產生器之原型研究–機器人創思競賽案例探討 A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study |
指導教授: |
詹朝基
Chao-Chi Chan |
口試委員: |
林其禹
Chyi-Yeu Lin 羅乃維 Nai-Wei Lo |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2005 |
畢業學年度: | 93 |
語文別: | 中文 |
論文頁數: | 129 |
中文關鍵詞: | 機器人 、機構設計 、文件摘要 、資料庫 、本體論 、網格結構 |
外文關鍵詞: | Document summarization |
相關次數: | 點閱:336 下載:1 |
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開發一個機器人系統所牽涉到的知識領域相當的龐大,在開發的生命週期中,機構設計是一個很重要的關鍵。機構工程師需要吸收大量且廣泛的知識,而設計概念與實務應用之間的相互對應也是需要經驗的累積。本論文以「機器人機構設計」為知識領域,目的在建置一「知識地圖」將現有的文獻資訊之內隱知識萃取出來,以「知識摘要文件」的方式創造出新的知識價值。
本研究實作出一知識摘要產生系統,以本體論為基礎,將機械領域的概念知識加以明確的規格化,建置出知識地圖。再藉由Protégé 3.0 Java API將其分析並轉存至Domino文件式資料庫中,最後輸出不同格式的知識摘要文件,達到知識的創新及再利用。
To develop a robot system, making proper mechanism design will get involved many kinds of domain knowledge. How to collect information and integrate them with own design know-how and practical experiences become the most important tasks. Tuning design concepts into reusable experiences by written reports is essentially long-term and must-do process for knowledge workers. However, understanding those concepts and finding their relationship among those paper reports are really big challenges.
This thesis focuses on knowledge management problems found in robot mechanism design field and restricts the technical reports collected from the Robot Portal Taiwan website as the domain knowledge sources. Our prototype system is aimed to provide one “knowledge map” to guide junior engineers to get the amazing ideas from the existing technical reports. This system was designed to extract the tacit knowledge from existing literatures and game site rules, and then organize internally them into lattices for later report generation tasks. The final results are presented as valuable and easy-to-read summary reports in HTML, XML and PDF format.
Our Knowledge Summarization Generator is built on the ontology framework suggested by Stanford Protégé project. This research would turn the explicit design reports into an easy-to-understand knowledge map. The design experiences and key concepts are segmented into nodes and be presented as the possible paths from the concepts to final works. Those document summarizations are saved in Domino database by the Protégé 3.0 Java API. We hope that proposed knowledge reconstruction process make innovation possible via reading and integrating different formats of the value-add design summary reports.
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