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

Citation Infomation

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/58510

Title:	Reference Metadata Extraction Using a Hierarchical Knowledge Representation Framework
Authors:	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
Contributors:	淡江大學資訊管理學系
Date:	2007-02-01
Issue Date:	2011-10-01 12:06:17 (UTC+8)
Abstract:	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.
Relation:	Decision Support Systems 43(1), pp.152-167
DOI:	10.1016/j.dss.2006.08.006
Appears in Collections:	[資訊管理學系暨研究所] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	179	View/Open
Reference Metadata Extraction Using a Hierarchical Knowledge Representation Framework.pdf		2364Kb	Adobe PDF	2	View/Open