RESEARCH ON KNOWLEDGE ACQUISITION METHOD FROM DOMAIN TEXT

机译：域文本中的知识获取方法研究

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To enhance the efficiency and accuracy of knowledge acquisition, based on the aviation product failure a nalysis, a knowledge acquisition framework is proposed. Sentence templates are defined to extract the meta knowledge and RDF is used to manage the extracted knowledge. The texts are represented by vector space model (VSM) after the preprocessing steps. Then domain concepts are discovered from RDF documents by u sing LSI-SVD and taxonomy knowledge are found through domain text analysis by using a text clustering method named as dominant-set. At last, a prototype is developed to acquire knowledge from aviation product failure a nalysis reports. Empirical results show that the framework can acquire knowledge from domain text efficiently.

机译：为了提高知识获取的效率和准确性，提出了基于航空产品故障分析的知识获取框架。定义了句子模板以提取元知识，并且使用RDF来管理提取的知识。在预处理步骤之后，这些文本由向量空间模型（VSM）表示。然后，使用LSI-SVD从RDF文档中发现领域概念，并使用称为主导集的文本聚类方法通过领域文本分析来发现分类知识。最后，开发了一个原型以从分析报告中获取航空产品故障的知识。实证结果表明，该框架可以有效地从领域文本中获取知识。

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来源
《Proceedings of the Ninth international conference on industrial management》|2008年|p.823-832|共10页
会议地点 Osaka(JP);Osaka(JP)
作者
Jun Wang; Xuening Liu; Yunpeng Wu;
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作者单位

School of Economics and Management, Beihang University, Beijing 100083, China;

School of Economics and Management, Beihang University, Beijing 100083, China;

School of Economics and Management, Beihang University, Beijing 100083, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类工业计划与管理体制;
关键词
Knowledge acquisition; Text mining; Domain text; Failure analysis report; Meta-knowledge;

机译：知识获取;文本挖掘;域文本;故障分析报告;元知识;

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2. A term normalization method for efficient knowledge acquisition through text processing [J] . Myunggwon Hwang, Do-Heon Jeong, Jinhyung Kim, Multimedia Tools and Applications . 2013,第1期

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3. An experimental investigation of the impact of domain complexity on knowledge acquisition (KA) methods [J] . C.W. Holsapple, Victor Raj, William P. Wagner Expert systems with applications . 2008,第3期

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4. Incremental Knowledge Acquisition Approach for Information Extraction on both Semi-structured and Unstructured Text from the Open Domain Web [C] . Maria Myung Hee Kim Australasian Language Technology Association workshop . 2017

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5. Teachers' acquisition of procedural knowledge in the domain of text production. [D] . Walcot (Gayda), Elizabeth. 2003

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6. Colloquium PaperMapping Knowledge Domains: An unsupervised method for the extraction of propositional information from text [O] . Simon Dennis 2004

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7. Domain-Specific Knowledge Acquisition from Text [O] . Dan Moldovan, Roxana Girju, Vasile Rus 2000

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8. KI-LEARN: Knowledge-Intensive Learning Methods for Knowledge-Rich/Data- Poor Domains [R] . Dietterich, T. G. , Restificar, A. , Tadepalli, P. , 2006

机译：KI-LEaRN：知识丰富/数据贫乏领域的知识密集型学习方法

RESEARCH ON KNOWLEDGE ACQUISITION METHOD FROM DOMAIN TEXT

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