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一种基于部分已验证匹配关系的模式匹配模型

黄少滨 刘国峰 万庆生 程媛 申林山

黄少滨, 刘国峰, 万庆生, 程媛, 申林山. 一种基于部分已验证匹配关系的模式匹配模型. 自动化学报, 2013, 39(10): 1642-1652. doi: 10.3724/SP.J.1004.2013.01642
引用本文: 黄少滨, 刘国峰, 万庆生, 程媛, 申林山. 一种基于部分已验证匹配关系的模式匹配模型. 自动化学报, 2013, 39(10): 1642-1652. doi: 10.3724/SP.J.1004.2013.01642
HUANG Shao-Bin, LIU Guo-Feng, WAN Qing-Sheng, CHENG Yuan, SHEN Lin-Shan. A Schema Matching Model Based on Partial Verified Matching Relations. ACTA AUTOMATICA SINICA, 2013, 39(10): 1642-1652. doi: 10.3724/SP.J.1004.2013.01642
Citation: HUANG Shao-Bin, LIU Guo-Feng, WAN Qing-Sheng, CHENG Yuan, SHEN Lin-Shan. A Schema Matching Model Based on Partial Verified Matching Relations. ACTA AUTOMATICA SINICA, 2013, 39(10): 1642-1652. doi: 10.3724/SP.J.1004.2013.01642

一种基于部分已验证匹配关系的模式匹配模型

doi: 10.3724/SP.J.1004.2013.01642
基金项目: 

国家自然科学基金(60873038, 60903080, 71272216), 国家科技支撑计划项目(2009BAH42B02, 2012BAH08B02), 中央高校基本科研业务专项资金项目(HEUCF100603, HEUCFZ1212)资助

详细信息
    作者简介:

    黄少滨 哈尔滨工程大学计算机科学与技术学院教授.主要研究方向为分布式计算与仿真,模型检测,数据集成.E-mail:huangshaobin@hrbeu.edu.cn

A Schema Matching Model Based on Partial Verified Matching Relations

Funds: 

Supported by National Natural Science Foundation of China (60873038, 60903080, 71272216), National Key Project of Scientific and Technical Supporting Programs (2009BAH42B02, 2012BAH08B02), and Fundamental Research Funds for the Central Universities (HEUCF100603, HEUCFZ1212)

  • 摘要: 模式匹配是模式集成、语义WEB及电子商务等领域的重点及难点问题. 为了有效利用专家知识提高匹配质量, 提出了一种基于部分已验证匹配关系的模式匹配模型. 在该模型中, 首先,人工验证待匹配模式元素间的少量对应关系, 进而推理出当前任务下部分已知的匹配关系及单独匹配器的缺省权重; 然后,基于上述已收集到的先验知识对多种匹配器所生成的相似度矩阵进行合并及调整, 并在全局范围内进行优化; 最后,对优化矩阵的选择性进行评估, 从而为不同匹配任务推荐最合理的候选匹配生成方案. 实验结果表明, 部分已验证匹配关系的使用有助于模式匹配质量的提高.
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出版历程
  • 收稿日期:  2012-10-23
  • 修回日期:  2013-01-18
  • 刊出日期:  2013-10-20

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