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Searching XML Documents Using Relevance Propagation

机译:使用关联传播搜索XML文档

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摘要

The issue of information retrieval in XML documents was first investigated by the database community. Recently, the Information Retrieval (IR) community started to investigate the XML search issue. For this purpose, traditional information retrieval models were adapted to process XML documents and rank results by relevance. In this paper, we describe an IR approach to deal 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. The value of this proposed method is evaluated thanks to the INEX evaluation initiative. Results show a relative high precision of our system.
机译:XML文档中的信息检索问题首先由数据库社区调查。最近,信息检索(IR)社区开始调查XML搜索问题。为此,传统的信息检索模型适用于处理XML文档并按相关性对结果进行排名。在本文中,我们描述了一种IR方法来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。借助INEX评估计划,可以评估该方法的价值。结果表明我们的系统具有较高的精度。

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