Detection of Outlier Information Using Linguistic Summarization

被引：7

作者：

Duraj, Agnieszka ^{[1
]}

Szczepaniak, Piotr S. ^{[1
]}

Ochelska-Mierzejewska, Joanna ^{[1
]}

机构：

[1] Lodz Univ Technol, Inst Informat Technol, Ul Wolczanska 215, PL-90924 Lodz, Poland

来源：

FLEXIBLE QUERY ANSWERING SYSTEMS 2015 | 2016年 / 400卷

关键词：

Detection of outlier information; Textual records comparison; Summarization of textual data bases; Fuzzy similarity; Information granularity;

D O I：

10.1007/978-3-319-26154-6_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main goal of automatic summarization of databases is usually to characterize the collection of data in terms of the dominant information involved. In complement to this task, the present paper shows the use of linguistic summarization for the characterization of databases containing textual records through detection of outlier information involved. The method applies a fuzzy measure of similarity between sentences to the summarization result. Certain level of standadization of textual records is assumed.

引用

页码：101 / 113

页数：13

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