Extraction Knowledge Objects in Scientific Web Resource for Research Profiling
文献类型：会议论文
| 作者 | Zhang Zhixiong ; Xu Jian
|
| 出版日期 | 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 |
| 关键词 | Knowledge Objects Research object Extraction Research Term Extraction Research Profiling Relation Extraction |
| 中文摘要 | 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. |
| 会议主办者 | ieee |
| 学科主题 | 自然语言处理 |
| 语种 | 英语 |
| 源URL | [http://ir.las.ac.cn/handle/12502/2773]  |
| 专题 | 文献情报中心_中国科学院文献情报中心_信息系统部 |
| 推荐引用方式 GB/T 7714 | Zhang Zhixiong,Xu Jian. Extraction Knowledge Objects in Scientific Web Resource for Research Profiling[C]. 见:2009 international conference on machine learning and cybernetics. 保定. 2009-07-12~2009-07-15. |
入库方式： OAI收割
来源：文献情报中心
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