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題名:運用文本探勘建置九二一地震數位檔案知識庫
書刊名:檔案季刊
作者:蔣以仁
作者(外文):Chiang, I-jen
出版日期:2009
卷期:8:3
頁次:頁44-66
主題關鍵詞:知識庫文本探勘智慧資產圖形辨識特徵萃取Knowledge baseText miningIntellectual propertyPattern recognitionFeature extraction
原始連結:連回原系統網址new window
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經驗累積了知識,創造了價值;政府的施政作為與歷程,皆記載在於公文檔案中,而這些寶貴的資料,如何開啟,成為決策施政者的參考,遂為當前檔案管理進到檔案知識管理上重要課題。檔案管理局於民國93年對九二一地震政府文書檔案資料庫進行知識探索作業,利用文本探勘機制,以九二一地震政府公文為標的,從關鍵詞彙萃取、自動化的分類分群,用以發掘出對災難的處置,行政作為的經驗等之內隱知識,建構知識庫,以達到「提供國家發展見證,創造國家智慧資產」。
Abstract Experiences create valuable knowledge. The experiences of the public affairs are recorded in official records that formally reflect the activities of a government. It is an important topic of National Archives Administration to discover the hidden knowledge in records for governors’ references, while they consider making a decision on related public affairs. In 2004, National Archives Administration started to use text-mining techniques in order to discover the knowledge behind the whole collection of Chi-Chi earthquake official records that is able to provide enough information for emergency rescue and to properly handle the aftermath of the accident. This project went on through key phrases extractions, automatic text classifications/ clustering, etc., to create the ontology of disasters control, especially such as earthquakes. The aim of building knowledge by using text mining is as the slogan - “To provide evidenceof progress and to create the intellectual property of our country” at National Archives Administration.
期刊論文
1.Kasperson, R. E.、Pijawka, K. D.(1985)。Societal Response to Hazards and Major Hazard Events: Comparing Natural and Technological Hazards。Public Administration Review,45,7-18。  new window
2.Chen, Keh-jiann、Bai, Ming-hong(19980200)。Unknown Word Detection for Chinese by a Corpus-based Learning Method。International Journal of Computational Linguistics & Chinese Language Processing,3(1),27-44。  new window
3.Lin, T. Y.、Chiang, I. J.(2005)。A Simplicial Complex, a Hypergraph, Structure in the latent Semantic Space of Document Clustering。International Journal of Approximate Reasoning,40(1/2),55-80。  new window
4.Ambrosio, J.(2000)。Knowledge Management Mistakes: Experts reveal five pitfalls to avoid when starting down the knowledge management path。Computerworld,30(27),44-45。  new window
5.Chiang, I.-Jen(2007)。Discover the Semantic Topology in High-Dimensional Data。Expert Systems with Applications,33(1),256-262。  new window
6.蔣以仁(20051200)。檔案知識資產之顯性化發掘與分析。檔案季刊,4(4),46-67。new window  延伸查詢new window
7.Buntine, W. L.(1996)。A Guide to the Literature on Learning Probabilistic Networks from Data。IEEE Transactions on Knowledge and Data Engineering,8(2),195-210。  new window
會議論文
1.Chen, K. J.、Ma, Wei-Yun(2002)。Unknown Word Extraction for Chinese Documents169-175。  new window
2.Ma, W. Y.、Chen, K. J.(2003)。A Bottom-up Merging Algorithm for Chinese Unknown Word Extraction。The Second SIGHAN Workshop on Chinese Language Processing,31-38。  new window
3.Lamping, J.、Rao, R.、Pirolli, P.(1995)。A focus + context technique based on hyperbolic geometry for visualizing large hierarchies401-408。  new window
4.Chen, K. J.、Liu, S. H.(1992)。Word Identification for Mandarin Chinese sentences101-107。  new window
圖書
1.Nonaka, Ikujiro、Takeuchi, Hirotaka(1995)。The knowledge-creating company: How Japanese companies create the dynamics of innovation。Oxford University Press。  new window
其他
1.(20081203)。Earthquake Lists & Maps,http://earthquake.usgs.gov/eqcenter/eqarchives/。  new window
2.(20090810)。八八大水災。  延伸查詢new window
圖書論文
1.Liebowitz, J.、Nilsson, K. R.(2001)。A knowledge management strategy for the U.S. federal communications commission。Knowledge Management: Learning from Knowledge Engineering。CRC Press。  new window
 
 
 
 
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