Title :
Research of knowledge reduction based on rough set and attribute union of semantic web
Author :
Mai Fan-jin ; Gan Guo-qing
Author_Institution :
Guilin Univ. Libr., Guilin Univ. of Technol., Guilin, China
Abstract :
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.
Keywords :
rough set theory; semantic Web; attribute reduction; attribute union; knowledge reduction; rough set theory; semantic Web; Approximation methods; Educational institutions; Knowledge engineering; Semantic Web; Semantics; Set theory; Uncertainty; attribute; attribute union; knowledge reduction; rough set; semantic web;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030312
