Research of Knowledge Reduction Based on Rough Set and Attribute Union of Semantic Web

摘要：

The process for obtaining knowledge is easy to get a lot of redundant information. So rough set theory and attribute union are used to reduce the attribute and attribute value of semantic web together. The nuclear of attribute and attribute value are found at the same time. Finally, the minimum reduction of attribute will be got.

关键词： semantic web knowledge reduction attribute rough set attribute union

作者: MAI Fan-jin GAN Guo-qing

作者单位: Guilin University Library, 541004 Guilin University of Technology,Guilin, China College of Information Science and Engineering Guilin University of Technology Guilin, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 714-716

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）