摘要
为解决传统校内搜索的完整性和准确性不高、性能较差等问题,文中借助智慧校园基础平台建设优势,构建面向校内资源的垂直搜索引擎。首先,以通用的开发框架为基础,融合校内领域特征,优化搜索引擎技术中的信息采集、数据索引、信息检索模块;然后,结合资源整合和爬虫两种方式进行信息采集,并在数据索引中引入全量数据平台的语义知识库进行信息抽取、语义优化,增加扩展查询、统一身份认证等信息检索因素;最后,在超融合数据中心的硬件基础上,以跨平台门户为入口,提出覆盖率、准确率、检索速度更为优化的校内智能搜索方案。以江苏师范大学校内搜索平台为例验证该方案的可行性,得出建立个性化、精确化、智能化的校内垂直搜索服务,能够提升智慧校园进程中教学、科研和管理工作的效率。
In order to solve the problems of poor integrity,low accuracy and poor performance of traditional campus search,a vertical search engine oriented to campus resources is established by virtue of the advantages of intelligent campus infrastructure platform construction. On the basis of the general development framework,the characteristics of the school′ s field are integrated,and the information collection,data index and information retrieval modules in the search engine technology are optimized. The information collection is conducted by means of the resources integration and Crawler. In the data index,the semantic knowledge base of the full data platform is introduced for information extraction and semantic optimization,and information retrieval factors such as extended query and unified identity authentication are added. On the basis of the hardware in hyper-fusion data center,and with the cross platform portal as the entrance,a campus intelligent search scheme with more optimized coverage,accuracy and retrieval speed is proposed. Taking campus search platform in Jiangsu Normal University as an example to verify the feasibility of the scheme,it is concluded that the establishment of personalized,accurate and intelligent campus vertical search service can improve the efficiency of teaching,scientific research and management in the progress of smart campus.
作者
张文艳
宋子强
孙荣
王正路
ZHANG Wenyan;SONG Ziqiang;SUN Rong;WANG Zhenglu(Division of Information Construction and Management,Jiangsu Normal University,Xuzhou 221116,China)
出处
《现代电子技术》
2022年第20期75-80,共6页
Modern Electronics Technique
基金
江苏省现代教育技术研究2019年度智慧校园项目(2019-R-75629)。
关键词
搜索引擎
智慧校园
信息采集
信息检索
垂直搜索
智能搜索
search engine
smart campus
information acquisition
information retrieval
vertical search
intelligent search
