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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/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

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