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Title: EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING
Author: Liu JH(刘建华) ; Zhang ZX(张智雄)
Issued Date: 2009-07-14
Keyword: Knowledge Objects ; Research object Extraction ; Relation Extraction ; Research Term Extraction ; Research Profiling
Subject: 信息技术::自然语言处理
Abstract: Research profiling is a large-scale analysis method based on the literature information to depict the state-of-the-art scientific researches wisely. Much research profiling work has been carried out based on formal, structured scientific publications (such as Chemical Abstracts) while there is much information contained in abundant, unstructured scientific web resources. In order to profiling research based on those unstructured scientific web resources, the authors bring forth a solution that tries to extract useful knowledge objects from them. Three kinds of knowledge objects have been extracted: (1) research related objects (research objects), such as institutes, scientists, projects, conferences etc.; (2) the relationships between the research objects which reflected in scientific web resources, such as one scientist worked in one institute; (3) the terms which indicate the topic of the research areas. The authors implemented the knowledge objects extraction system and did some experiments to test and evaluate the effect of this system.
Conference Name: 2009 International Conference on Machine Learning and Cybernetics
Conference Place: 保定
Language: 英语
Content Type: 演示报告
URI: http://ir.las.ac.cn/handle/12502/2774
Appears in Collections:中国科学院文献情报中心_信息系统部_演示报告

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Recommended Citation:
Liu JH,Zhang ZX. EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING. 2009.
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