Extraction Knowledge Objects in Scientific Web Resource for Research Profiling
Zhang Zhixiong; Xu Jian; Liu Jianhua etc
2010-01-03
会议名称2009 International Conference on Machine Learning and Cybernetics
会议日期2009-07-12~2009-07-15
会议地点保定
会议主办者IEEE
摘要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.
关键词Knowledge Objects Research Term Extraction Research Object Extraction Research Profiling Relation Extraction
学科领域自然语言处理
语种英语
文献类型会议论文
条目标识符http://ir.las.ac.cn/handle/12502/2773
专题中国科学院文献情报中心(北京)_信息系统部
推荐引用方式
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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