Research Profiling Based on Semantic Web Mining
Research profiling is an analysis method could be used to broadly scan the contextual literature information and depict the research context and research efforts wisely. The authors of this article now carry out a project which needs to extract intelligence from web resources especially for scientific research analysis. Research profiling based on semantic web mining is the heart of the project. Semantic web mining of the web resource include the two processes which are semantic knowledge extraction and semantic mining. The former focuses on how to automatically extract research terms, research objects and relationship between those objects from the web resources. The latter focuses on how to mine semantic knowledge from a large volume of the structured semantic data. Detailed solutions to semantic mining of web resources are discussed in this article. And the authors also implement a research profiling experiment in Artificial Intelligence area to show the effectiveness of the research profiling based on semantic web mining.
research profiling semantic web mining knowledge object extraction visualization
Zhixiong ZHANG Na HONG Ying DING Jianhua LIU Jian XU Daiqing YANG
National Science Library, Chinese Academy of Science, Beijing, China School of Library and Information Science, Indiana University, Bloomington, US
国际会议
北京
英文
190-197
2011-06-07（万方平台首次上网日期，不代表论文的发表时间）