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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Main Authors: Huang, Syu-Hong, 黃旭宏
Other Authors: CHANG, TEHG-WEN
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/b889c4
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spelling 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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language zh-TW
format Others
sources NDLTD
description 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.
author2 CHANG, TEHG-WEN
author_facet 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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