How to Repair Inconsistency in OWL 2 DL Ontology Versions?
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摘要
Semantic modeling knowledge formalisms, such as ontologies, have to follow the continuous evolution and changes of knowledge. However, ontology changes should never affect its consistency. Ontology needs to remain in a consistent state along its whole engineering process. In the literature, most of approaches check/repair ontology inconsistencies in an a posteriori way. In this paper, an a priori inconsistency approach was proposed to generate consistent OWL 2 DL ontology versions. It relies on the OWL 2 DL change kits, which anticipate inconsistencies upon each change request on an ontology version. The proposed approach predicts potential inconsistencies, provides an a priori repair action and applies the required changes. Consistency rules were defined and used to check logical inconsistencies, but also syntactical invalidities and style issues. A protégé plugin was implemented to validate our approach.
论文关键词:OWL 2 DL ontology,Evolution,Inconsistency,A priori approach
论文评审过程:Received 15 November 2016, Revised 27 May 2018, Accepted 30 May 2018, Available online 5 June 2018, Version of Record 27 July 2018.
论文官网地址:https://doi.org/10.1016/j.datak.2018.05.010