基于Elasticsearch的知识库检索引擎系统设计与实现

Design and Implementation of Knowledge Base Retrieval Engine System Based on Elasticsearch

当前,随着大数据的发展,数据包含的价值越来越丰富,如何对海量的数据实现毫秒级的关键字检索越来越被各个信息化系统所需要。因此,文中基于Elasticsearch作为框架,通过知识库检索引擎技术研究及应用实现,形成一套具备海量数据存储、自定义知识库接入、高效全文检索等特点的分布式全文搜索引擎系统解决上述问题。

At present,with the development of big data,the value contained in data is becoming more and more abundant.How to realize millisecond-level keyword retrieval for massive data is increasingly required by various information systems.Therefore,based on Elasticsearch as the framework,a distributed full-text search engine system with the characteristics of massive data storage,custom knowledge base access,and efficient full-text retrieval is formed to solve the above problems through the research and application of knowledge base search engine technology.