Title :
Stochastic Search Based on Evolutionary Algorithm for Semantic Web
Author :
Tong, Qiaoling ; Tong, Hengqing ; Cheng, Yajie
Author_Institution :
Dept. of Electron. Sci. & Tech., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
The rise of semantic Web attracts more attention to the information retrieval method. In this paper we firstly discuss the traditional network search and semantic information retrieval. Then in accordance with keywords statistic, we propose a stochastic search based on EA and semantic Web. Moreover, with the improvement strategy of EA, a particle subgroup algorithm based on space contraction is constructed. The numerical experiments shows this method improve search efficiency, precision and robustness.
Keywords :
evolutionary computation; information retrieval; semantic Web; stochastic processes; evolutionary algorithm; information retrieval; keywords statistic; particle subgroup algorithm; semantic Web; space contraction; stochastic search; Evolutionary computation; HTML; Information retrieval; Robustness; Semantic Web; Space exploration; Space technology; Statistics; Stochastic processes; World Wide Web;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.437
