题名

走向開放化、語意化與關聯化的《中國分類主題詞表》

并列篇名

Towards Open, Semantic, and Linked Chinese Classified Thesaurus

DOI

10.6245/JLIS.2017.431/718

作者

范煒(Wei Fan)

关键词

中國分類主題詞表 ； 關聯數據 ； 詞表資料集 ； Chinese Classified Thesaurus ； Linked Data ； Vocabulary Dataset

期刊名称

圖書館學與資訊科學

卷期/出版年月

43卷1期（2017 / 04 / 01）

页次

155 - 170

内容语文

繁體中文;英文
中文摘要

《中國分類主題詞表》是中國大陸地區情報檢索語言研究與實踐的典型代表，也是一種重要的中文知識組織體系。語意網技術與關聯數據實踐為《中國分類主題詞表》研究帶來了新思路與新方法。文章以「開放化─語意化─關聯化」遞進邏輯為寫作脈絡，彙報《中國分類主題詞表》的階段發展。目前《中國分類主題詞表》在開放化與語意化方面已經具備較好的資料基礎與技術支撐，未來將朝向關聯數據集開發與知識服務應用方面重點發展。
英文摘要

Chinese Classified Thesaurus (CCT) is one type of best practices of Chinese information retrieval language. As the information environment changes, vocabularies need to be advance with the time. CCT has an upgrading process to become open, semantic and linked. The article takes open‐semantic-linked as three steps and reports the current development of CCT. In the Linked Data context, CCT has already transformed subject authority data into RDF datasets and experimented the technology solution with Fuseki and TDB. In the future, CCT will focus on linked vocabulary dataset and knowledge service.
主题分类 人文學 > 圖書資訊學
参考文献
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