基于大数据的智能检索系统设计与研究

Design and Research of Intelligent Retrieval System Based on Big Data

为提升信息检索的便利性,加强智能检索系统的设计,指出了智能信息检索系统存在的问题:信息资源过于分散,算法匹配紊乱,人工智能检索应用性较差,提出基于大数据的智能检索系统设计架构,知识存储系统,即知识存储系统(知识库)、知识采集系统、知识处理系统及知识表达系统,不断优化智能化检索系统,为智能检索系统设计提供了新的思路,促进我国智能检索技术的发展和进步。

In order to promote the convenience of information retrieval and the design of intelligent retrieval system,the problems of intelligent information retrieval system are proposed,i.e.too scattered information resources,disorder arithmetic matching,and weak artificial intelligent retrieval and application.The design architecture of intelligent retrieval system based on big data are proposed,i.e.knowledge storage system(knowledge base),knowledge acquisition system,knowledge processing system and knowledge expression system,in order to continuously optimize intelligent retrieval system,provide new thinking path for intelligent retrieval system design,and promote the development and progress of intelligent retrieval technology in China.