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A Logic-based Computational Method for the Automated Induction of Fuzzy Ontology Axioms

机译:模糊本体公理自动归纳的基于逻辑的计算方法

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摘要

Fuzzy Description Logics (DLs) are logics that allow to deal with structured vague knowledge. Although a relatively important amount of work has been carried out in the last years concerning the use of fuzzy DLs as ontology languages, the problem of automatically managing the evolution of fuzzy ontologies has received very little attention so far. We describe here a logic-based computational method for the automated induction of fuzzy ontology axioms which follows the machine learning approach of Inductive Logic Programming. The potential usefulness of the method is illustrated by means of an example taken from the tourism application domain.
机译:模糊描述逻辑(DL)是允许处理结构化模糊知识的逻辑。尽管在过去的几年中,关于使用模糊DL作为本体语言进行了相当重要的工作,但是到目前为止,自动管理模糊本体的演化问题一直很少受到关注。我们在这里描述了一种基于逻辑的模糊本体公理的自动归纳计算方法,该方法遵循归纳逻辑编程的机器学习方法。通过从旅游应用领域获得的示例来说明该方法的潜在用途。

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