基于双仿真的描述逻辑知识库概念学习方法

Proceedings of the 3rd Symposium on Information and Communication Technology Pub Date : 2012-08-23 DOI:10.1145/2350716.2350753

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

摘要

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

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.

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Proceedings of the 3rd Symposium on Information and Communication Technology

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