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Overcoming Schema Heterogeneity between Linked Semantic Repositories to Improve Coreference Resolution

机译:克服链接语义存储库之间的架构异质性以提高共指分辨率

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摘要

Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, which performs ontology schema matching in order to improve instance coreference resolution performance. A novel feature of the approach is its use of existing instance-level coreference links defined in third-party repositories as background knowledge for schema matching techniques. In our tests of this approach we obtained encouraging results, in particular, a substantial increase in recall in comparison with existing sets of coreference links.
机译:模式异质性问题通常是发现语义数据存储库中个体之间的共指链接的障碍。在本文中,我们提出了一种方法,该方法执行本体架构匹配以提高实例共引用解析性能。该方法的新颖之处在于,它使用了第三方存储库中定义的现有实例级共引用链接,作为模式匹配技术的背景知识。在我们对该方法的测试中,我们获得了令人鼓舞的结果,特别是与现有的一组共同参照链接相比,召回率大大提高。

著录项

  • 来源
    《The semantic web 》|2009年|P.332-346|共15页
  • 会议地点 Shanghai(CN);Shanghai(CN);Shanghai(CN)
  • 作者单位

    Knowledge Media Institute, The Open University, Milton Keynes, UK;

    Knowledge Media Institute, The Open University, Milton Keynes, UK;

    Knowledge Media Institute, The Open University, Milton Keynes, UK;

    Knowledge Media Institute, The Open University, Milton Keynes, UK;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络 ;
  • 关键词

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