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Supporting Semantic Search on Heterogeneous Semi-structured Documents

机译:支持异构半结构化文档的语义搜索

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摘要

This paper presents SHIRI-Querying, an approach for semantic search on semi-structured documents. We propose a solution to tackle incompleteness and imprecision of semantic annotations of semistructured documents at querying time. We particularly introduce three elementary reformulations that rely on the notion of aggregation and on the document structure. We present the Dynamic Reformulation and Execution of Queries algorithm (DREQ) which combines these elementary transformations to construct reformulated queries w.r.t. a defined order relation. Experiments on two real datasets show that these reformulations greatly increase the recall and that returned answers are effectively ranked according to their precision.
机译:本文介绍了SHIRI查询,这是一种对半结构化文档进行语义搜索的方法。我们提出一种解决方案,以解决查询时半结构化文档的语义注释不完整和不精确的问题。我们特别介绍了三个基本的表述,它们依赖于聚合的概念和文档的结构。我们提出了动态重新制定和执行查询算法(DREQ),该算法结合了这些基本转换以构造重新编写的查询w.r.t。定义的顺序关系。在两个真实数据集上进行的实验表明,这些重新编写大大增加了回忆,并且根据答案的准确度对返回的答案进行了有效排名。

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  • 来源
  • 会议地点 Hammamet(TN);Hammamet(TN)
  • 作者单位

    LRI, Universite Paris-Sud 11, INRIA Saclay, F-91893 Orsay cedex, Prance ,SUPELEC Systems Sciences (E3S), F-91192 Gif-sur-Yvette cedex, Prance;

    SUPELEC Systems Sciences (E3S), F-91192 Gif-sur-Yvette cedex, Prance;

    LRI, Universite Paris-Sud 11, INRIA Saclay, F-91893 Orsay cedex, Prance;

    LRI, Universite Paris-Sud 11, INRIA Saclay, F-91893 Orsay cedex, Prance ,SUPELEC Systems Sciences (E3S), F-91192 Gif-sur-Yvette cedex, Prance;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

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