The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System
碩士 === 嶺東科技大學 === 資訊科技應用研究所 === 102 === This study aimed to improve the accuracy of contextual keyword analysis through the extension of the Semantic Web Service. In order to eliminate irrelevant results when using single word search, multiple nouns as keywords in a Chinese sentence can help readers...
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ndltd-TW-102LTC003960122019-05-15T21:23:53Z http://ndltd.ncl.edu.tw/handle/3x62rj The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System 應用語意分析於多名詞的詞句搜尋之研究-以圖書館資訊系統為例 LI,SHENG-WEI 李聖瑋 碩士 嶺東科技大學 資訊科技應用研究所 102 This study aimed to improve the accuracy of contextual keyword analysis through the extension of the Semantic Web Service. In order to eliminate irrelevant results when using single word search, multiple nouns as keywords in a Chinese sentence can help readers accurately obtain the expected results. The present study adopted the ConceptNet5 system developed by the Massachusetts Institute of Technology as well as Academia Sinica Chinese word segmentation system with the hope to find out more relevant information through keywords search. With the use of semantic analysis, the researchers found that multiple nouns can be successfully extracted in a Chinese sentence so as to identify more context-related words. By doing so, more information about library resource can be obtained. Thus, such information can be accurately identified; meanwhile, the convenience and simplicity of library search for users can be improved Shun-Sheng Jhan 詹勳生 2014 學位論文 ; thesis 49 zh-TW |
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碩士 === 嶺東科技大學 === 資訊科技應用研究所 === 102 === This study aimed to improve the accuracy of contextual keyword analysis through the extension of the Semantic Web Service. In order to eliminate irrelevant results when using single word search, multiple nouns as keywords in a Chinese sentence can help readers accurately obtain the expected results. The present study adopted the ConceptNet5 system developed by the Massachusetts Institute of Technology as well as Academia Sinica Chinese word segmentation system with the hope to find out more relevant information through keywords search. With the use of semantic analysis, the researchers found that multiple nouns can be successfully extracted in a Chinese sentence so as to identify more context-related words. By doing so, more information about library resource can be obtained. Thus, such information can be accurately identified; meanwhile, the convenience and simplicity of library search for users can be improved
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Shun-Sheng Jhan |
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Shun-Sheng Jhan LI,SHENG-WEI 李聖瑋 |
author |
LI,SHENG-WEI 李聖瑋 |
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LI,SHENG-WEI 李聖瑋 The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System |
author_sort |
LI,SHENG-WEI |
title |
The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System |
title_short |
The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System |
title_full |
The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System |
title_fullStr |
The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System |
title_full_unstemmed |
The Application of Semantic Analysis- Using Extracted Multiple Nouns as a Case in Library Information System |
title_sort |
application of semantic analysis- using extracted multiple nouns as a case in library information system |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/3x62rj |
work_keys_str_mv |
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