• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing >Diagnosis process with two focuses minimal in incoherent mapping repair
【24h】

Diagnosis process with two focuses minimal in incoherent mapping repair

机译：具有两个焦点的诊断过程在不连贯的映射修复中最少

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Ontology Matching is a process to find correspondences between semantically related entities of two ontologies. Most matching systems do evaluation by comparing the correspondences with reference alignment. Since 2010 another method has been used to measure a logic-based of correspondence or mapping, called incoherent mapping measurement. The more incoherent of the mapping the lower quality of mapping. Incoherent mapping repair will restore the incoherent to coherent condition in mapping, by removing unwanted mapping. The process of removing unwanted mapping to restore the coherent condition is called diagnosis process. Since mappings are very important sources to support data integration and exchange, then diagnosis should be done as minimal as possible. We propose two focuses minimal using global new technique to repair the incoherent mapping. This approach should (1) ensure minimal impact on the input alignment by minimizing the number of mapping removed; and (2) minimize the average of confidence values of the mapping removed. The next study about minimal diagnosis is finding the right method to implement the two focuses minimal with global new techniques in the real world.
机译：本体匹配是找到两个本体的语义相关实体之间的对应关系的过程。大多数匹配系统通过将对应关系与参考对齐方式进行比较来进行评估。自2010年以来，另一种方法被用于测量基于逻辑的对应关系或映射，称为非相干映射测量。映射越不连贯，映射的质量就越低。非相干映射修复将通过删除不需要的映射将映射中的非相干恢复为相干条件。删除不需要的映射以恢复相干条件的过程称为诊断过程。由于映射是支持数据集成和交换的非常重要的来源，因此应尽可能少地进行诊断。我们建议使用全局新技术来修复非相干映射的两个焦点最少。这种方法应（1）通过最大程度地减少删除的映射数，确保对输入对齐方式的影响最小； （2）最小化已删除映射的置信度平均值。关于最小诊断的下一个研究是找到在现实世界中使用全局新技术实现两个焦点最小的正确方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号