Research of semantic search algorithm based on cloud computing
Junwei Ge, Chao Liao, Fang Yiqiu · 2012
Traditional search algorithm based on keywords, is easy to appear polysemy and synonyms phenomenon, which affects the recall and precision of search. And it uses a centralized search algorithm. Once the servers have problems, the whole system will be out of service. As a new distributed computing, Cloud computing has a high computing and mass storage. In order to reduce server load and increase the efficiency of resource discovery, this paper puts forward the search algorithm based on semantic in the cloud environment, which realizes intelligent search through the Chord precise search and semantic fuzzy matching fusion, and enhances the recall rate. Simulation experiment shows that the algorithm achieves high recall-precision, which performs the efficiency search in small-scale stable network.