A bisimulation-based method of concept learning for knowledge bases in description logics

Quang-Thuy Ha, Thi-Lan-Giao Hoang, Linh Anh Nguyen, H. Nguyen, A. Szałas, Thanh-Luong Tran
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引用次数: 19

Abstract

We develop the first bisimulation-based method of concept learning, called BBCL, for knowledge bases in description logics (DLs). Our method is formulated for a large class of useful DLs, with well-known DLs like ALC, SHIQ, SHOIQ, SROIQ. As bisimulation is the notion for characterizing indis-cernibility of objects in DLs, our method is natural and very promising.
基于双仿真的描述逻辑知识库概念学习方法
我们开发了第一种基于双仿真的概念学习方法,称为BBCL,用于描述逻辑(dl)中的知识库。我们的方法是为一大类有用的dl而制定的,包括众所周知的dl,如ALC、SHIQ、SHOIQ、SROIQ。由于双模拟是表征dl中对象不可分辨性的概念,因此我们的方法是很自然的,很有前途。
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