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New Technology of Library and Information Service  2008, Vol. 24 Issue (8): 2-11    DOI: 10.11925/infotech.1003-3513.2008.08.01
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Analysis of State-of-the-Art Knowledge Extraction Technologies
Zhang ZhixiongWu Zhenxin1   Liu Jianhua 1,2  Xu Jian 1,2,3  Hong Na 1,2  Zhao Qi 1,2
1(National Science Library, Chinese Academy of Sciences, Beijing 100190, China)
2(Graduate University of the Chinese Academy of Sciences, Beijing 100049, China)
3(Department of Information Management,Sun Yat-Sen University, Guangzhou 510275, China)
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 Based on the analysis of some state-of-the-art knowledge extraction systems, i.e., MnM, KIM, Text2Onto, Amilcare and Melita, it brings forward that two kinds of technologies, i.e., machine learning and natural language analysis, are developed respectively and get benefits from the inter-reference. On machine learning aspect, some new methods, such as Adaptive Information Extraction, Open Information Extraction, are put forward and have a trend toward Ontology Learning. On nature language analysis aspect, the methods of Pattern-Based Annotation and Semantic Annotation get more attention than ever, and have a trend toward Ontology Based Information Extraction. Besides, Controlled Language Information Extraction method is introduced to reduce the cost of Ontology Construction and allow non-specialists to create or edit ontological data using simple nature language.

Key wordsKnowledge extraction      Machine learning      Nature language analysis      Ontology     
Received: 16 June 2008      Published: 25 August 2008


Corresponding Authors: Zhang Zhixiong     E-mail:
About author:: Zhang Zhixiong,Wu Zhenxin,Liu Jianhua,Xu Jian,Hong Na,Zhao Qi

Cite this article:

Zhang Zhixiong,Wu Zhenxin,Liu Jianhua,Xu Jian,Hong Na,Zhao Qi. Analysis of State-of-the-Art Knowledge Extraction Technologies. New Technology of Library and Information Service, 2008, 24(8): 2-11.

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