摘要
基于MapReduce集群框架的外观专利检索系统设计旨在提高专利检索的效率和准确性。该系统以Hadoop分布式文件系统(HDFS)为存储基础,利用MapReduce并行计算模型实现专利数据的快速处理和检索。通过搭建Linux集群环境和分布式计算平台Hadoop,系统能有效加速外观专利检索,提高检索效率和准确性。
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.
作者
孙惠芬
SUN Huifen(Information Engineering Department,Zhenjiang Branch of Jiangsu Joint Vocational and Technical College,Zhenjiang 212016,China)
出处
《镇江高专学报》
2024年第2期77-81,共5页
Journal of Zhenjiang College
