Solr在医疗大数据检索中的应用

Application of Solr in Medical Big Data Searching

目的:利用开源软件Solr搭建一套高速检索引擎,实现海量异构数据及非结构化医疗数据的高效检索。方法:采用高速开源检索引擎Solr,通过把各种类型医疗数据的meta数据上传到Solr上并建立索引,实现高速检索。结果:使用存储与开源软件Solr搭建的医疗大数据检索平台,并在医疗大数据平台上开发一个Web检索展示系统,对平台中的医疗数据进行检索、分析和利用。结论:通过与传统关系型数据库检索性能的对比,证明使用Solr检索的性能远超传统关系型数据库,在实际工作环境中Solr具有高可用性与高实用性。

Objective： The objective of the present thesis is to build a high-speed search engine using open source software Solr so as to implement efficient search of massive heterogeneous and unstructured medical data. Methods： An open source search engine Solr is utilized. Metadata of various types of medical data are uploaded to Solr for indexing so as to implement high-speed search. Results： A medical Big Data search platform is established by using storage and the open source software Solr. A Web search and viewing system is developed based on the medical Big Data search platform so as to search, analyze, and utilize the medical data in the platform. Conclusion： It is testified that the search performance of Solr goes far beyond that of conventional relational databases, and Solr is proved to have high effectiveness and usability in practical operational environment.