Likelog for flexible query answering

被引：5
|
作者：
Fontana, FA [1 ]
机构：
[1] Univ Milano Bicocca, I-20126 Milan, Italy
来源：
SOFT COMPUTING | 2002年 / 7卷 / 02期
关键词：
similarity; fuzzy logic programming; query answering; deductive databases;
D O I：
10.1007/S00500-002-0178-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Starting from unification based on similarity, a logic programming language, called LIKEness in LOGic (Likelog) is derived, thorougly relying on similarity. An operational semantics and a fix-point semantics of the language are defined, using an extension principle for fuzzy operators. The two approaches are proved to be related and a fuzzy extension of the least Herbrand model is given. One of the principal feature of such a logic programming language is to allow flexible query answering to deductive databases, which we show through an example. Moreover, we describe a system for web information retrieval through Likelog.
引用
收藏
页码：107 / 114
页数：8
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