結合時事新聞之語意網研究 －以圖書資訊系統的推薦應用為例

Study on the Semantic Web with Linking Current Affairs News –A Recommendation Application of Library Information System

葉紹萓(Shao-Hsuan Yeh)

指導教授 ： 詹勳生

嶺東科技大學/資訊學院/資訊科技應用研究所/碩士(2013年)

摘要

本研究旨在運用分析關鍵字前後文詞的延伸關鍵字詞來使圖書管系統功能更加完善。以往的單純的館藏搜尋都是使用單一字詞，如此有可能出現一些不相關的結果，若能取用一段文字裡的特定多個關鍵字詞來分析，便可以找到更加符合需求的結果。本研究利用美國麻省理工學院開發的ConceptNet5以及中央研究院發展的CKIP中文斷詞系統為分析工具，成功地找出與關鍵字更多的關聯詞，並以時事新聞為來源，找出更多的延伸圖書館館藏供使用者選擇參考運用。

關鍵字

語意網 ； 概念網 ； 斷詞 ； 延伸詞 ； 新聞

並列摘要

This study aimed to enhance the accuracy of contextual keyword analysis through the extension of the Semantic Web. Single word searching may sometimes provide irrelevant results. If multiple extended words in the text can be analyzed, users may find the expected results more accurately. This study adoptes the analysis tools developed by the Massachusetts Institute of Technology ConceptNet5 and Academia Sinica Chinese text segmentation system with the hope to find out more relevant information through key word searching. This study also provided implications towards users’ needs of search engines in the library information system with linking current affairs news.

並列關鍵字

Semantic Web ； ConceptNet ； Text Segmentation ； Extended Word ； News

參考文獻

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