An algorithm for the generalized k-keyword proximity problem and finding longest repetitive substring in a set of strings

被引:0
|
作者
Lee, Inbok
Kim, Sung-Ryul [1 ]
机构
[1] Kings Coll London, Dept Comp Sci, London WC2R 2LS, England
[2] Konkuk Univ, Div Internet & Media, Seoul, South Korea
[3] Konkuk Univ, CAESIT, Seoul, South Korea
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The data grid may consist of huge number of documents and the number of documents which contain the keywords in the query may be very large. Therefore, we need some method to measure the relevance of the documents to the query. In this paper we propose algorithms for computing k-keyword proximity score [3] in more realistic environments. Furthermore, we show that they can be used to find longest repetitive substring with constraints in a set of strings.
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页码:289 / 292
页数:4
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