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
收藏
页码：79 / 94
页数：16
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