A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study

碩士 === 國立臺灣科技大學 === 機械工程系 === 93 === 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 in...

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Main Authors: Chung-Hsiang Wang, 王忠祥
Other Authors: Chao-Chi Chan
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/45976956297934250187
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spelling ndltd-TW-093NTUST4890802015-10-13T15:29:20Z http://ndltd.ncl.edu.tw/handle/45976956297934250187 A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study 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 Chung-Hsiang Wang 王忠祥 碩士 國立臺灣科技大學 機械工程系 93 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. Chao-Chi Chan 詹朝基 2005 學位論文 ; thesis 129 zh-TW
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description 碩士 === 國立臺灣科技大學 === 機械工程系 === 93 === 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.
author2 Chao-Chi Chan
author_facet Chao-Chi Chan
Chung-Hsiang Wang
王忠祥
author Chung-Hsiang Wang
王忠祥
spellingShingle Chung-Hsiang Wang
王忠祥
A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study
author_sort Chung-Hsiang Wang
title A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study
title_short A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study
title_full A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study
title_fullStr A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study
title_full_unstemmed A Prototype Study of an Ontology-based PDF-style Report Generator–Creative Robot Games Case Study
title_sort prototype study of an ontology-based pdf-style report generator–creative robot games case study
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/45976956297934250187
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