Reference Metadata Extraction Using a Hierarchical Knowledge Representation Framework

淡江大學機構典藏 > 商管學院 > 資訊管理學系暨研究所 > 期刊論文 > Item 987654321/58510

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题名:	Reference Metadata Extraction Using a Hierarchical Knowledge Representation Framework
作者:	戴敏育;Day, Min-yuh;Tsai, Richard Tzong-han;Sung, Cheng-lung;Hsieh, Chiu-chen;Lee, Cheng-wei;Wu, Shih-hung;Wu, Kun-pin;Ong, Chorng-shyong;Hsu, Wen-lian
贡献者:	淡江大學資訊管理學系
日期:	2007-02-01
上传时间:	2011-10-01 12:06:17 (UTC+8)
摘要:	The integration of bibliographical information on scholarly publications available on the Internet is an important task in the academic community. Accurate reference metadata extraction from such publications is essential for the integration of metadata from heterogeneous reference sources. In this paper, we propose a hierarchical template-based reference metadata extraction method for scholarly publications. We adopt a hierarchical knowledge representation framework called INFOMAP, which automatically extracts metadata. The experimental results show that, by using INFOMAP, we can extract author, title, journal, volume, number (issue), year, and page information from different kinds of reference styles with a high degree of precision. The overall average accuracy is 92.39% for the six major reference styles compared in this study.
關聯:	Decision Support Systems 43(1), pp.152-167
DOI:	10.1016/j.dss.2006.08.006
显示于类别:	[資訊管理學系暨研究所] 期刊論文

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