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題名 Extracting Structured Subject Information from Digital Document Archives
作者 劉吉軒
Liu, Jyi-Shane; Lee, Ching-Ying
關鍵詞 information extraction, digital document archives, value-added services.
日期 2006-11
上傳時間 16-Dec-2008 16:46:09 (UTC+8)
摘要 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.
關聯 Digital Libraries: Achievements, Challenges and Opportunities, Lecture Notes in Computer Science series 4312, pp.141-150
資料類型 article
DOI http://dx.doi.org/10.1007/11931584_17
dc.creator (作者) 劉吉軒zh_TW
dc.creator (作者) Liu, Jyi-Shane; Lee, Ching-Ying-
dc.date (日期) 2006-11en_US
dc.date.accessioned 16-Dec-2008 16:46:09 (UTC+8)-
dc.date.available 16-Dec-2008 16:46:09 (UTC+8)-
dc.date.issued (上傳時間) 16-Dec-2008 16:46:09 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/15006-
dc.description.abstract (摘要) 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.en-US
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Digital Libraries: Achievements, Challenges and Opportunities, Lecture Notes in Computer Science series 4312, pp.141-150en_US
dc.subject (關鍵詞) information extraction, digital document archives, value-added services.en-US
dc.title (題名) Extracting Structured Subject Information from Digital Document Archivesen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/11931584_17en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/11931584_17en_US