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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| Format: | Others |
| Language: | zh-TW |
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2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/45976956297934250187 |
| Summary: | 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.
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