摘要
针对京津冀水环境信息资源出口不一、范围不同,且不能得到精确检索的问题,本文采用Elasticsearch分布式索引检索技术,将京津冀水环境数据资源进行融合共享,构建了京津冀水环境搜索引擎系统。该系统包括数据采集、数据索引、数据检索、界面展示四个模块。重点对搜索的评分机制做了改进并对检索内容进行重排序。通过实验表明,与通用搜索引擎以及传统数据库相比,所实现的搜索引擎系统可以更加准确、快速地实现用户的检索需求。
In view of the problem that the water environment information resources of the Beijing-Tianjin-Hebei region have different exports, different scopes and can not be accurately searched, Elasticsearch distributed index retrieval technology is adopted in this paper to integrate and share water environment data resources of beijing-tianjin-hebei region and build a water environment search engine system of beijing-tianjin-hebei region. The system includes four modules: data acquisition,data index, data retrieval and interface display. The scoring mechanism of search is improved and the content of search is reordered. Experiments show that compared with the general search engine and the traditional database, the search engine system can realize the user’s retrieval requirements more accurately and quickly.
作者
张会清
张乐
ZHANG Hui-qing;ZHANG Le(Information Department,Beijing University of Technology,Beijing 100124 China;Engineering Research Center of Digital Community,Ministry of Education,Beijing 100124 China;Beijing Laboratory For Urban Mass Transit,Beijing 100124 China;Beijing Key Laboratory of Computational Intelligence and Intelligent System,Beijing 100124 China)
出处
《自动化技术与应用》
2020年第11期29-36,共8页
Techniques of Automation and Applications
基金
国家自然科学基金项目(编号61640312,61763037)
北京市自然科学基金(编号4172007)
水体污染控制与治理科技重大专项项目(编号2018ZX07111005)。
