EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING
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.
Knowledge Objects Research object Eztraction Relation Eztraction Research Term Eztraction Research Profiling
ZHI-XIONG ZHANG JIAN XU JIAN-HUA LIU QI ZHAO NA HONG SI-ZHU WU DAI-QING YANG
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
国际会议
2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)
保定
英文
3475-3480
2009-07-12（万方平台首次上网日期，不代表论文的发表时间）