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  • 张则飞,茅克勤,蒋婵娟,杨万康.基于Solr的海洋空间资源搜索应用研究[J].海洋开发与管理,2021,38(12):98-102    
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基于Solr的海洋空间资源搜索应用研究
张则飞,茅克勤,蒋婵娟,杨万康
浙江省海洋科学院;自然资源部第二海洋研究所
摘要:
为促进海洋数据的应用和共享,有力支撑海洋空间资源管理,文章通过构建海洋综合数据库和数据分类,采用Solr技术实现对海洋空间资源的多源、异构和海量数据搜索。研究结果表明:Solr是专业、高效和开源的搜索引擎,基于海洋综合数据库平台,可实现对海洋空间资源的基础搜索、业务数据搜索、搜索定制和搜索展现,具有搜索字段更加丰富、搜索速度更快、搜索结果更加准确和搜索结果展现形式更加多样等优点。
关键词:  海洋空间资源  数据中心  大数据  数据库  搜索引擎
DOI:
基金项目:浙江省自然科学基金项目“海湾中的共振效应及其机理研究”(LQ20D060003).
Application Research of Marine Space Resources Search Based on Solr
ZHANG Zefei,MAO Keqin,JIANG Chanjuan,YANG Wankang
Marine Academy of Zhejiang Province;Second Institute of Oceanography,MNR
Abstract:
In order to promote the application and sharing of marine data and effectively support the management of marine spatial resources, this paper constructed an integrated marine database and data classification, and used Solr technology to realize the multi-source, heterogeneous and massive data search of marine spatial resources. The results showed that Solr was a professional, efficient and open source search engine. Based on the marine comprehensive database platform, Solr could realize the basic search, business data search, search customization and search display of marine space resources. It had the advantages of richer search fields, faster search speed, more accurate search results and more diverse display forms of search results.
Key words:  Ocean space resources,Data center,Big data,Database,Search engines