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| 信念网络检索模型扩展研究 | |
| 引用本文： | 吴树芳,刘永立,朱杰,潘世英.信念网络检索模型扩展研究[J].计算机工程与应用,2009,45(10):151-153. |
| 作者姓名： | 吴树芳 刘永立 朱杰 潘世英 |
| 作者单位： | 1. 河北软件职业技术学院,信息工程系,河北,保定,071000 2. 中国地质大学,长城学院,信息工程系,河北,保定,071000 3. 中央司法警官学院,信息管理系,河北,保定,071000 4. 河北师范大学,职业技术学院,石家庄,050031 |
| 摘 要： | 依据《同义词词林(扩展版)》,以初始查询的同义词为证据扩展基本信念网络,得到扩展的信念网络检索模型,扩展模型采用不同的归并方法将得到不同的排序计算式。在析取归并算法的基础上,给出了合取归并算法,并对其进行了合理的修正。实验证明,合取情况下的检索性能高于析取情况。 |
| 关 键 词： | 信息检索 信念网络 基于同义词的证据 析取 合取 |
| 收稿时间： | 2008-2-26 |
| 修稿时间： | 2008-5-12 |
Extended research on belief network retrieval model |
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| WU Shu-fang,LIU Yong-li,ZHU Jie,PAN Shi-ying.Extended research on belief network retrieval model[J].Computer Engineering and Applications,2009,45(10):151-153. | |
| Authors: | WU Shu-fang LIU Yong-li ZHU Jie PAN Shi-ying |
| Affiliation: | WU Shu-fang1,LIU Yong-li2,ZHU Jie3,PAN Shi-ying41.Department of Information Engineering,Hebei Software Institute,Baoding,Hebei 071000,China 2.Department of Information Engineering,Great Wall College,China University of Geosciences,China 3.Department of Information Management,Central Institute for Correctional Police,China 4.Institute of Career Technology,Hebei Normal University,Shijiazhuang 050031,China |
| Abstract: | Combining distinct sources of evidential knowledge in support of a ranking can improve the retrieval performance effectively.Adopting synonym-based evidence to extend the basic belief network can obtain an extended belief network retrieval model.The extended model uses different strategies to combine evidences leads to different ranking computation formulas,then influences the retrieval performance.This paper gives conjunctive combining algorithm based on disjunctive combining algorithm,and some proper modi... |
| Keywords: | information retrieval belief network synonym-based evidence conjunctive disjunctive |
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