A model for the representation and focussed retrieval of structured documents based on fuzzy aggregation

G. Kazai, M. Lalmas, T. Roelleke
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引用次数: 29

Abstract

Effective retrieval of structured documents should exploit the content and structural knowledge associated with the documents. This knowledge can be used to focus retrieval to the best entry points: document components that contain relevant information, and from which users can browse to retrieve further relevant components. To enable this, suitable representation methods must be developed. This paper presents a model for representing structured documents to allow for their focussed retrieval. The model is founded on fuzzy aggregation, an approach based on the fuzzy representation of linguistic quantifiers and ordered weighted averaging operators. By defining the representation of a document component as the fuzzy aggregation of its related components, we arrive at a document representation that supports the selection of best entry points.
基于模糊聚合的结构化文档表示和集中检索模型
结构化文档的有效检索应该利用与文档相关的内容和结构化知识。这些知识可用于将检索集中到最佳入口点:包含相关信息的文档组件,用户可以从中浏览以检索进一步相关的组件。为了实现这一点,必须开发合适的表示方法。本文提出了一个表示结构化文档的模型,以允许对结构化文档进行集中检索。该模型建立在模糊聚合的基础上,该方法基于语言量词的模糊表示和有序加权平均算子。通过将文档组件的表示定义为其相关组件的模糊聚合,我们得到了支持最佳入口点选择的文档表示。
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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