Content-only querying structured contexts using formal concept analysis

Loutfi Zerarga, Y. Djouadi
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引用次数: 1

Abstract

With the large increase of collections of structured documents (e.g. XML, HTML, ...), the need to retrieve different granules (fragments, sub-units, ...) of such documents, instead of the whole structure, becomes obvious. Nowadays, all existing Formal Concept Analysis-based Information Retrieval approaches address exclusively unstructured documents. They rely on the use of dyadic formal contexts (i.e. binary Documents × Terms relations). In this paper an original approach which consists of enlarging FCA-based IR paradigm to structured documents is proposed. Our approach stands from the idea of modeling structured documents by means of triadic formal contexts (i.e. ternary Documents × Terms × Structure relation). This allows to retrieve sub-units or fragments of structured documents. In structured information retrieval, queries may be of different types. This paper deals with content-only queries and gives a theoretical framework for both conjunctive as well as disjunctive forms.
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使用形式概念分析查询仅内容的结构化上下文
随着结构化文档(如XML、HTML等)集合的大量增加,很明显需要检索这些文档的不同颗粒(片段、子单元等),而不是整个结构。目前,所有现有的基于形式概念分析的信息检索方法都专门针对非结构化文档。它们依赖于二元形式上下文的使用(即二进制文档×术语关系)。本文提出了一种新颖的方法,将基于fca的IR范式扩展到结构化文档。我们的方法基于通过三元形式上下文(即三元文档×术语×结构关系)对结构化文档进行建模的想法。这允许检索结构化文档的子单元或片段。在结构化信息检索中,查询可以是不同类型的。本文处理纯内容查询,并给出了连接和析取形式的理论框架。
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