Information retrieval and artificial intelligence

被引:7
|
作者
Sparck-Jones, K [1 ]
机构
[1] Univ Cambridge, Comp Lab, Cambridge CB2 3QG, England
关键词
information retrieval; probabilistic model; Artificial Intelligence;
D O I
10.1016/S0004-3702(99)00075-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses the relations between information retrieval (IR) and AI. It examines document retrieval, summarising its essential features and illustrating the state of its art by presenting one probabilistic model in detail, with some test results showing its value. The paper then analyses this model and related successful approaches, concentrating on and justifying their use of weak, redundant representation and reasoning. It goes on to other information management tasks and considers how the concepts and methods developed for retrieval may be applied to these, concluding by arguing that such ways of dealing with information may also have wider relevance to AI. (C) 1999 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码:257 / 281
页数:25
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