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Extraction Knowledge Objects in Scientific Web Resource for Research Profiling
Zhang Zhixiong; Xu Jian; Liu Jianhua etc
2010-01-03
Conference Name2009 International Conference on Machine Learning and Cybernetics
Conference Date2009-07-12~2009-07-15
Conference Place保定
Funding OrganizationIEEE
AbstractResearch 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.
KeywordKnowledge Objects Research Term Extraction Research Object Extraction Research Profiling Relation Extraction
Subject Area自然语言处理
Language英语
Document Type会议论文
Identifierhttp://ir.las.ac.cn/handle/12502/2773
Collection中国科学院文献情报中心(北京)_信息系统部
Recommended Citation
GB/T 7714
Zhang Zhixiong,Xu Jian,Liu Jianhua etc. Extraction Knowledge Objects in Scientific Web Resource for Research Profiling[C],2010.
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