EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING
文献类型：演示报告
| 作者 | Liu JH(刘建华) ; Liu JH(刘建华); Zhang ZX(张智雄)
|
| 报告日期 | 2009-07-14 |
| 学科主题 | 自然语言处理 |
| 关键词 | Knowledge Objects Research object Extraction Relation Extraction Research Term Extraction Research Profiling |
| 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. |
| 报告会名称 | 2009 international conference on machine learning and cybernetics |
| 报告会地点 | 保定 |
| 资助信息 | national key technology r&d program in the 11th five year plan of china named science monitoring and evaluation based on scientific web resources (2006bah03b05) |
| 语种 | 英语 |
| 源URL | [http://ir.las.ac.cn/handle/12502/2774]  |
| 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 | Liu JH,Liu JH,Zhang ZX. EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING. 2009. |
入库方式： OAI收割
来源：文献情报中心
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