Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization
碩士 === 國立雲林科技大學 === 數位媒體設計系 === 106 === In the academia, finding key people, researches, and the accompanying collaborative network is valuable for new design researchers. The opportunity for cooperation between SOFTlab and CAADRIA. There is a huge WOCAD academic relation database can implement the...
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ndltd-TW-106YUNT08040202019-05-16T00:44:55Z http://ndltd.ncl.edu.tw/handle/b889c4 Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization 運用本體論視覺化呈現於WOCAD學者與著作關聯之研究 Huang, Syu-Hong 黃旭宏 碩士 國立雲林科技大學 數位媒體設計系 106 In the academia, finding key people, researches, and the accompanying collaborative network is valuable for new design researchers. The opportunity for cooperation between SOFTlab and CAADRIA. There is a huge WOCAD academic relation database can implement the system. This study decided to use ontology as the medium of knowledge exploration. First, using ontology mapping tool to covert the relational database into ontology form. And through ontology visualization, the WOCAD academic ontology increase in expressiveness. On the visualization results, as well as ontology support semantic inference function, improve the efficiency of researchers in querying WOCAD academic ontology and then help them to conduct research and acquire knowledge smoothly. CHANG, TEHG-WEN 張登文 2018 學位論文 ; thesis 56 zh-TW |
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碩士 === 國立雲林科技大學 === 數位媒體設計系 === 106 === In the academia, finding key people, researches, and the accompanying collaborative network is valuable for new design researchers. The opportunity for cooperation between SOFTlab and CAADRIA. There is a huge WOCAD academic relation database can implement the system.
This study decided to use ontology as the medium of knowledge exploration. First, using ontology mapping tool to covert the relational database into ontology form. And through ontology visualization, the WOCAD academic ontology increase in expressiveness. On the visualization results, as well as ontology support semantic inference function, improve the efficiency of researchers in querying WOCAD academic ontology and then help them to conduct research and acquire knowledge smoothly.
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CHANG, TEHG-WEN |
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CHANG, TEHG-WEN Huang, Syu-Hong 黃旭宏 |
author |
Huang, Syu-Hong 黃旭宏 |
spellingShingle |
Huang, Syu-Hong 黃旭宏 Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization |
author_sort |
Huang, Syu-Hong |
title |
Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization |
title_short |
Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization |
title_full |
Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization |
title_fullStr |
Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization |
title_full_unstemmed |
Discovering Co-author Relationship in WOCAD Data Using Ontology Visualization |
title_sort |
discovering co-author relationship in wocad data using ontology visualization |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/b889c4 |
work_keys_str_mv |
AT huangsyuhong discoveringcoauthorrelationshipinwocaddatausingontologyvisualization AT huángxùhóng discoveringcoauthorrelationshipinwocaddatausingontologyvisualization AT huangsyuhong yùnyòngběntǐlùnshìjuéhuàchéngxiànyúwocadxuézhěyǔzhezuòguānliánzhīyánjiū AT huángxùhóng yùnyòngběntǐlùnshìjuéhuàchéngxiànyúwocadxuézhěyǔzhezuòguānliánzhīyánjiū |
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1719171056910991360 |