基于SSM和Lucene的水利文献检索系统设计
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摘要
随着信息检索技术的发展,通用文献检索系统已经取得了极大的成功,但在这些系统中进行文献检索工作时,检索结果的范围太广,无法满足科研人员专业化、个性化的需求。以水利领域为例,进行面向特定领域的文献检索系统的设计。具体地,对现有水利科技文献进行分类,形成水利领域词典,构建水利文献专有数据库;采用全文检索的技术和框架Lucene,对数据库中的水利文献建立双语索引,实现中英互搜功能。
With the development of information retrieval technology, the universal document retrieval system has achieved great success. When performing literature search in these systems, the scope of the search results is too wide to meet the needs of scientific and professional personnel. This paper takes the water conservancy field as an example to carry out the design work of a domain-oriented literature retrieval system. Specifically, this paper first classifies the existing hydraulic science and technology literature, forms a dictionary of water conservancy fields, constructs a proprietary database of water conservancy literature, and adopts full-text search technology and full-text search framework Lucene to build both Chinese and English indexes for literatures in the field of water conservancy, in this way the Chinese and English mutual search functions are designed.
With the development of information retrieval technology, the universal document retrieval system has achieved great success. When performing literature search in these systems, the scope of the search results is too wide to meet the needs of scientific and professional personnel. This paper takes the water conservancy field as an example to carry out the design work of a domain-oriented literature retrieval system. Specifically, this paper first classifies the existing hydraulic science and technology literature, forms a dictionary of water conservancy fields, constructs a proprietary database of water conservancy literature, and adopts full-text search technology and full-text search framework Lucene to build both Chinese and English indexes for literatures in the field of water conservancy, in this way the Chinese and English mutual search functions are designed.
引文
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[9]邱敏明,任洪敏,顾利军.基于Lucene的多源数据全文检索的研究与实现[J].现代计算.机(专业版),2018(22):88-92.
[10]洪植林.基于SSM框架的高校实验室信息管理系统的设计与实现[D].杭州:浙江工业大学,2016.
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[12]邓晓枫,蒋廷耀.基于Lucene和MMSEG算法的中文分词器研究[J].信息通信,2017(9):146-148.
[2]张锴.云计算在水利信息化建设中的应用与研究[J].信息系统工程,2018(6):42-43.
[3]庄冬.水利信息化资源整合共享的探讨[J].科学技术创新,2018(13):65-66.
[4]王伟,刘红升,简丹,等.江苏水利信息化与自动化设备的现状及发展方向[J].中国设备工程,2017(23):210-211.
[5]钟小鹏.水利工程档案管理的信息化建设[J].兰台世界,2017(增刊2):160-161.
[6]李江华.水利水电科技文献分类与检索工具研究及应用[D].北京:北京工业大学,2015.
[7]白国应.关于水利工程文献分类的研究[J].当代图书馆,2005(2):60-64.
[8]郭峰,韩云凤.面向期刊论文的搜索技术的研究与设计[J].信息技术,2018,42(8):59-65.
[9]邱敏明,任洪敏,顾利军.基于Lucene的多源数据全文检索的研究与实现[J].现代计算.机(专业版),2018(22):88-92.
[10]洪植林.基于SSM框架的高校实验室信息管理系统的设计与实现[D].杭州:浙江工业大学,2016.
[11]李振宇.基于Lucene的新闻搜索引擎的设计与实现[J].湖北农机化,2017(6):52.
[12]邓晓枫,蒋廷耀.基于Lucene和MMSEG算法的中文分词器研究[J].信息通信,2017(9):146-148.