Semantic distance measures

被引：3

作者：

Cooper, MC ^{[1
]}

机构：

[1] Univ Toulouse 3, IRIT, F-31062 Toulouse, France

来源：

COMPUTATIONAL INTELLIGENCE | 2000年 / 16卷 / 01期

关键词：

information; semantic measures; meaning; metric spaces; fuzzy sets; information retrieval;

D O I：

10.1111/0824-7935.00106

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The measurement of information is potentially as important to an information engineer as the measurement of physical quantities is to a civil or mechanical engineer. This article introduces semantic measures, representing the distance between the meanings of two messages. We demonstrate one possible application by giving a small-scale example in which a semantic measure was used to retrieve information by meaning rather than by word-occurrence. The distance function between the meanings of two messages can be generalized to cover fuzzy meanings. A possible application, the processing of free responses to opinion polls, is described.

引用

页码：79 / 94

页数：16

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