Design of appearance patent retrieval system based on MapReduce cluster framework
Design of appearance patent retrieval system based on MapReduce cluster framework aims to improve the efficiency and accuracy of patent retrieval.This system is based on the Hadoop Distributed File System(HDFS)for storage and utilizes the MapReduce parallel computing model to achieve rapid processing and retrieval of patent data.By building a Linux cluster environment and a distributed computing platform Hadoop,the system can effectively accelerate appearance patent retrieval,improve retrieval efficiency and accuracy.
appearance patent search systemMapReduce cluster frameworkimage retrievalfull text retrieval technology
国家科技期刊平台
NSTL
万方数据
维普
