计算机与现代化

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基于Lucene的检测报告搜索引擎的设计与实现

程 旭,杜志彬,邵学彬   

  1. 中国汽车技术研究中心数据资源中心,北京100176
  • 收稿日期:2013-09-12 修回日期:1900-01-01 出版日期:2013-12-18 发布日期:2013-12-18

Design and Implementation of Report Search Engine Based on Lucene

CHENG Xu, DU Zhi-bin, SHAO Xue-bin   

  1. Automotive Data Center, China Automotive Technology & Research Center, Beijing 100176, China
  • Received:2013-09-12 Revised:1900-01-01 Online:2013-12-18 Published:2013-12-18

摘要: 公告平台经过多年的建设与发展,已经积累了数量庞大的产品数据,其中检测报告数据库中已经存储了大约230余万份检测报告,然而目前对于该部分数据尚未形成有效的检索手段。本文为公告检测报告数据库设计基于Lucene框架的全文检索引擎,实现基于内容的全文检索服务。本项工作对于丰富公告检测报告的检索方式和提高检索效率,规范公告管理,提升政府和企业对公告服务的满意度具有重要的现实意义。

关键词: 车辆生产企业及产品公告, 检测报告; Lucene; 全文检索; Java

Abstract: After years of construction and development, a huge mass of data has been accumulated on the Notice Platform, including about 2.3 million test reports. But an effective search means has not been formed. A full-text search engine is designed for the Notice Platform test report database based on Lucene. It provides full-text search service based on content. This study is important for Notice Platform optimization and management standardization and is of important practical significance for improving the satisfaction of government and enterprises in notice management service.

Key words: notice of vehicle manufacturers and products, test reports, Lucene, full-text search, Java