On the Power and Limitations of Examples for Description Logic Concepts

被引:0
|
作者
ten Cate, Balder [1 ]
Koudijs, Raoul [2 ]
Ozaki, Ana [2 ,3 ]
机构
[1] Univ Amsterdam, Inst Log Language & Computat ILLC, Amsterdam, Netherlands
[2] Univ Bergen, Bergen, Norway
[3] Univ Oslo, Oslo, Norway
来源
PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024 | 2024年
关键词
COMPLEXITY;
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
Labeled examples (i.e., positive and negative examples) are an attractive medium for communicating complex concepts. They are useful for deriving concept expressions (such as in concept learning, interactive concept specification, and concept refinement) as well as for illustrating concept expressions to a user or domain expert. We investigate the power of labeled examples for describing description-logic concepts. Specifically, we systematically study the existence and efficient computability of finite characterisations, i.e., finite sets of labeled examples that uniquely characterize a single concept, for a wide variety of description logics between EL and ALCQI,both without an ontology and in the presence of a DL-Lite ontology. Finite characterisations are relevant for debugging purposes, and their existence is a necessary condition for exact learnability with membership queries.
引用
收藏
页码:3567 / 3575
页数:9
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