Improvement of SSRF-PDM full text retrieval system

LI Jiudong DENG Huiyu

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Improvement of SSRF-PDM full text retrieval system

更新时间：2021-03-05

- Improvement of SSRF-PDM full text retrieval system
- NUCLEAR TECHNIQUES Vol. 34, Issue 10, (2011)
- 作者机构：
  
  中国科学院上海应用物理研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.3
- Published：01 October 2011
- 稿件说明：
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[1]李玖栋,邓辉宇.上海光源PDM全文检索系统的改进[J].核技术,2011,34(10):721-725.

LI Jiudong DENG Huiyu. Improvement of SSRF-PDM full text retrieval system[J]. Nuclear techniques, 2011, 34(10): 721-725.
[1]李玖栋,邓辉宇.上海光源PDM全文检索系统的改进[J].核技术,2011,34(10):721-725. DOI：

LI Jiudong DENG Huiyu. Improvement of SSRF-PDM full text retrieval system[J]. Nuclear techniques, 2011, 34(10): 721-725. DOI：

摘要

上海光源的产品数据管理（PDM）原有的全文检索系统是一个基于数据库的检索系统

该系统在检全率、检准率以及相关度排序上均存在着不足。通过修改中文分词算法和细化相关度排序算法等手段对该系统进行改进

提高了系统的性能。测试结果表明检全率和检准率均得以提高

满足了上海光源对图文档管理的需求。

Abstract

The full text retrieval system of SSRF-PDM is a database-based retrieval system

but it had deficiencies in recall ratio

precision ration and relevancy ranking.To improve the system performance

the Chinese word segmentation algorithm and detailing relevancy ranking algorithm were optimized.Test results show that recall ratio and precision ratio can be improved to meet the data management needs of SSRF.

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SSRF-PDM and its full-text retrieval improvement

Related Author

TONG Xingfan DENG Huiyu LI Zhiming

邓辉宇

李志明

Related Institution

Shanghai Institute of Applied Physics, Chinese Academy of Sciences

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