A fuzzy link-based approach for XML information retrieval

M'hamed Mataoui, Faouzi Sebbak, F. Benhammadi, Kadda Beghdad Bey
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引用次数: 1

Abstract

The increasing amount of available XML documents collections has led to the emergence of new challenges in information retrieval field. Therefore, multiple sources of evidence were used to retrieve XML elements at different levels of granularity. XML information retrieval combines textual and structural information to perform different information retrieval tasks. In this paper, we propose a new approach exploiting link evidence to re-rank XML retrieval results. Our approach, based on fuzzy logic concepts, combines both content and link evidence for all retrieved XML elements. The combination process generates a new ranked list from the initial returned list. Experiment based on INEX 2007 Wikipedia collection showed improvement of the interpolated precision values.
基于模糊链接的XML信息检索方法
可用的XML文档集合数量的增加给信息检索领域带来了新的挑战。因此,使用多个证据来源来检索不同粒度级别的XML元素。XML信息检索结合了文本信息和结构信息来执行不同的信息检索任务。本文提出了一种利用链接证据对XML检索结果重新排序的新方法。我们的方法基于模糊逻辑概念,结合了所有检索到的XML元素的内容和链接证据。组合过程从初始返回的列表生成一个新的排序列表。基于INEX 2007维基百科集合的实验表明,插值精度值有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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