Fuzzy tolerance relations and relational maps applied to information retrieval

被引:5
|
作者
Kóczy, LT
Gedeon, TD
Kóczy, JA
机构
[1] Tech Univ Budapest, Dept Telecommun & Telemat, H-1521 Budapest, Hungary
[2] Univ New S Wales, Sch Comp Sci & Engn, Dept Informat Engn, Sydney, NSW 2052, Australia
[3] CONTROLLTraining Educ Ctr Ltd Co, H-1027 Budapest, Hungary
基金
澳大利亚研究理事会;
关键词
D O I
10.1016/S0165-0114(01)00054-9
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
One of the major problems in automatic indexing and retrieval of documents is that usually it cannot be guaranteed that the user queries include (all) of the actual words that occur in the documents that should be retrieved. Also it often happens that words with several meanings occur in a document, but in a rather different context from that expected by the querying person. In order to achieve better recall and higher precision, fuzzy tolerance and similarity relations have been introduced based on the counted or estimated values of (hierarchical) co-occurrence frequencies. This study addresses the problem of how these relations can be generated from the occurrence frequencies, especially as these are based on possibilistic rather than probabilistic measures, and also how the relations can be implemented by fuzzy relevance matrices. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:49 / 61
页数:13
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