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APPARATUS FOR SELECTING OPTIMUM DATABASE USING MAXIMAL CONCEPT-STRENGTH RECOGNITION TECHNIQUE AND METHOD THEREOF

机译:利用最大概念强度识别技术选择最佳数据库的装置及其方法

摘要

The present invention comprises: a dispersive database in which documents are classified and stored according to a document classification system and document characteristics including term properties; a maximal concept-strength decision unit which extracts features from a target document to be classified when receiving the target document, decides a category of the target document by calculating a weight of each feature using the extracted features and similarity in category, and decides as a maximal concept-strength a maximum value obtained by calculating the weight of each feature with respect to the category of the document; and a database selection unit which selects the dispersive database similar to the characteristics of the target document by applying the maximal concept-strength of the target document decided through the maximal concept-strength decision unit to the dispersive database.
机译:本发明包括:分散数据库,其中,根据文档分类系统和包括术语属性的文档特征对文档进行分类和存储;以及最大概念强度决定单元,其在接收目标文档时从要分类的目标文档中提取特征,通过使用所提取的特征和类别相似度来计算每个特征的权重,从而确定目标文档的类别,并确定为最大概念强度是通过计算每个特征相对于文档类别的权重而获得的最大值;数据库选择单元通过将通过最大概念强度判定单元确定的目标文档的最大概念强度应用于分散数据库,来选择与目标文档的特征相似的分散数据库。

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