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Answering content and structure-based queries on XML documents using relevance propagation

机译:使用关联传播回答XML文档中基于内容和结构的查询

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As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant information units. In this paper, we describe an information retrieval (IR) approach dealing with queries composed of content and structure conditions. The XFIRM model we propose is designed to be as flexible as possible to process such queries. It is based on a complete query language, derived from XPath and on a relevance values propagation method. This paper aims at evaluating functions used in the propagation process, and particularly the use of distance between nodes as a parameter. The proposed method is evaluated, thanks to the INEX evaluation initiative. Results show a relative high precision of our proposal.
机译:由于XML文档包含内容和结构信息,因此在检索过程中利用文档结构可以更好地标识相关的信息单元。在本文中,我们描述了一种信息检索(IR)方法,用于处理由内容和结构条件组成的查询。我们建议的XFIRM模型被设计为尽可能灵活地处理此类查询。它基于从XPath派生的完整查询语言以及相关值传播方法。本文旨在评估传播过程中使用的功能,尤其是节点之间的距离作为参数的使用。通过INEX评估计划,对提出的方法进行了评估。结果表明我们的建议相对较高的精度。

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