DL-FOIL Concept Learning in Description Logics

被引：0
|
作者：
Fanizzi, Nicola [1 ]
d'Amato, Claudia [1 ]
Esposito, Floriana [1 ]
机构：
[1] Univ Bari, Dipartimento Informat, LACAM, I-70125 Bari, Italy
来源：
INDUCTIVE LOGIC PROGRAMMING, ILP 2008 | 2008年 / 5194卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we focus on learning concept descriptions expressed in Description Logics. After stating the learning problem in this context, a FOIL-like algorithm is presented that can be applied to general DL languages, discussing related theoretical aspects of learning with the inherent incompleteness underlying the semantics of this representation. Subsequently we present an experimental evaluation of the implementation of this algorithm performed on some real ontologies in order to empirically assess its performance.
引用
收藏
页码：107 / 121
页数：15
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