| 上海光源PDM全文检索系统的改进 |
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| 引用本文： | 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(10):721-725. |
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| 作者姓名： | 李玖栋 邓辉宇 |
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| 作者单位： | 中国科学院上海应用物理研究所; |
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| 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.
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| 关 键 词： | 产品数据管理(PDM) 全文检索 中文分词 相关度排序 |
Improvement of SSRF-PDM full text retrieval system |
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| LI Jiudong DENG Huiyu.Improvement of SSRF-PDM full text retrieval system[J].Nuclear Techniques,2011(10):721-725. |
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| Authors: | LI Jiudong DENG Huiyu |
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| Affiliation: | LI Jiudong DENG Huiyu(Shanghai Institute of Applied Physics,Chinese Academy of Science,Shanghai 201800,China) |
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| 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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| Keywords: | PDM Full text retrieval Chinese word segmentation Relevancy ranking |
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