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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/15006
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/15006


    Title: Extracting Structured Subject Information from Digital Document Archives
    Authors: 劉吉軒;Ching-Ying Lee
    Keywords: information extraction, digital document archives, value-added services.
    Date: 2006-11
    Issue Date: 2008-12-16 16:46:09 (UTC+8)
    Abstract: Information extraction (IE) techniques are capable of decoding targeted subject information in documents, and reducing text data into a set of structured core information. The implication for digital libraries is that IE potentially serves as an enabling tool to extend the value of digital document archives. We present an approach, called sandwich extraction pattern, to address the closely coupled template relation tasks. The approach provides interactive capabilities for task specification, domain knowledge acquisition, and output evaluation. This allows users (e.g. librarians) to have direct control on the design of value-added content products and the performance of IE tools. We conducted empirical validation by implementing an IE system, called SEP, and field testing it in a practical document archive. Encouraged by successful test runs, NCCU library has formally initiated a project to develop a value-added content product of government personnel gazettes, including document images, electronic texts, and personnel changes database.
    Relation: Lecture Notes in Computer Science, 4312, 141-150
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/11931584_17
    DOI: 10.1007/11931584_17
    Appears in Collections:[資訊科學系] 期刊論文

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