Stochastic Search Based on Evolutionary Algorithm for Semantic Web
Qiaoling Tong, Hengqing Tong, Yajie Cheng · 2009
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.