摘要
针对标准文献资源的多样性和异构性,现有的标准号和关键词检索系统中检索结果不准确、不全面、效率低的情况,通过对Solr搜索引擎技术等关键理论进行了研究,针对标准主题词表进行修改、中文和标准号的拆分和检索结果排序的优化,并将其应用到标准文献资源统一检索工程实践中。实践证明,基于Solr搜索引擎技术实现的标准号和关键词的统一检索系统的优化达到了预期效果,大大提高了用户的检索效率和准确率,对标准文献资源的利用和服务方面具有一定的实用价值,证明了Solr搜索引擎技术的实用性,同时,这项技术在标准领域的应用也能够促进该技术日后的发展。
The diversity and heterogeneity standard literature resources often result in inaccurate,incomplete,and inefficient search results in the current standard number and keyword retrieval systems,which severely affected the application and service of standard literature.To solve the problem,the Solr search engine technology and related fundamental theories were studied.The subject vocabulary of the standard was modified,the Chinese texts and standard numbers were split,and the search results were sorted.Then,the processes were applied to the unified retrieval engineering for standard literature resources.The practice has proved that the optimization of the unified retrieval system based on the standard number and keyword implemented by the Solr search engine technology achieved the expected effect,greatly improved the users’retrieval efficiency and accuracy,and has certain practicality for the utilization and service of standard literature resources.It proves the practicality of Solr search engine technology.At the same time,the application of this technology in the standard field can also promote the future development of this technology.
作者
于晓明
史胜楠
甘克勤
YU Xiao-Ming;SHI Sheng-Nan;GAN Ke-Qin(School of Electronic Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi'an 710021,China;China National Institute of Standardization,Beijing 100191,China)
出处
《科学技术与工程》
北大核心
2020年第4期1504-1508,共5页
Science Technology and Engineering
基金
陕西省科技厅项目(2014KRM80)
咸阳市科技局项目(2013K15-07)。
关键词
标准
SOLR
检索
优化
standard
Solr
retrieval
optimization
作者简介
第一作者:于晓明(1965-),女,汉族,陕西白水人,博士,副教授。E-mail:494636031@qq.com;通信作者:甘克勤(1983-),男,汉族,湖北武汉人,硕士,副研究馆员。E-mail:gankq@cnis.gov.cn。
