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Ontology supported information extraction for document of evidence-based nursing domain

机译：本体支持循证护理域文件的信息提取

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The increasing amount of information available in electronic media is a strategic resource for the health professional who uses this source to support decision making. However, it is not feasible to analyze a significant number of documents in a short time without the support of a computational tool. The Information Extraction aims to extract from textual documents only the relevant information defined by the user. This information can be mapped and classified in the field of health through ontologies. This paper proposes the design of an information extracting mechanism that, in a hybrid form, can combine: an extractor for textual documents; the construction and use of a domain ontology for evidence-based nursing, aiming to assist in the classification of documents which will be extracted by the extractor and in the representation of this domain with respect to the computational area.
机译：电子媒体中可用的信息量越来越多的信息是利用本源支持决策的卫生专业人员的战略资源。但是，在短时间内分析大量文档，不可能在不支持计算工具的情况下进行分析是不可行的。信息提取旨在仅从文本文档中提取用户定义的相关信息。通过本体，可以在健康领域映射和分类此信息。本文提出了一种信息提取机制，以混合形式，可以组合：文本文档的提取器;域本体的构建和使用基于证据的护理，旨在协助提取者和该域的代表的文档分类以及关于计算区域的文档的分类。

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