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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/15006

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/15006

Title:	Extracting Structured Subject Information from Digital Document Archives
Authors:	劉吉軒 Liu, Jyi-Shane;Lee, Ching-Ying
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:	Digital Libraries: Achievements, Challenges and Opportunities, Lecture Notes in Computer Science series 4312, pp.141-150
Data Type:	article
DOI link:	http://dx.doi.org/10.1007/11931584_17
DOI:	10.1007/11931584_17
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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