Detecting hidden errors in an ontology using contextual knowledge

作者：

Highlights：

• Using background knowledge in ontology debugging is proposed for the first time.

• The evaluations show a remarkable increase in the number of discovered errors.

• Error detection should not be limited only to the contradictions inside the ontology.

• Logically coherent ontologies became incoherent beside some background knowledge.

摘要

•Using background knowledge in ontology debugging is proposed for the first time.•The evaluations show a remarkable increase in the number of discovered errors.•Error detection should not be limited only to the contradictions inside the ontology.•Logically coherent ontologies became incoherent beside some background knowledge.

论文关键词：Ontology debugging,Hidden modeling errors,Contextual knowledge,Incoherency,Inconsistency

论文评审过程：Received 7 May 2017, Revised 14 November 2017, Accepted 15 November 2017, Available online 15 November 2017, Version of Record 26 November 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.11.034