Indexing semi-structured documents for context-based information retrieval in a medical information system

F. Laforest, A. Tchounikine
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引用次数: 3

Abstract

Most of the information retrieval models for documents are intended for SGML-like structured documents. In the context of medical informatics, the patient record document needs a looser structuration process as an a priori structure can hardly be defined. Thus we first propose an authoring tool that allows us to annotate embedded information, i.e. to give them a context, with qualifiers that are stored in a thesaurus rather than in SGML-like DTD. The retrieval process in the patient records collection takes into account the flexibility of the qualifying process while reformulating the queries.
在医疗信息系统中为基于上下文的信息检索索引半结构化文档
大多数文档的信息检索模型都用于类似sgml的结构化文档。在医学信息学的背景下,病历文件需要一个松散的结构过程,因为很难定义先验结构。因此,我们首先提出一种创作工具,它允许我们注释嵌入的信息,即为它们提供一个上下文,并使用存储在同义词库而不是类似于sgml的DTD中的限定符。患者记录集合中的检索过程在重新表述查询时考虑了资格过程的灵活性。
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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