Understanding and improving ontology reasoning efficiency through learning and ranking

作者：

Highlights：

• Prediction models that accurately estimate ontology reasoning time for reasoners.

• A novel and efficient meta-reasoning framework for OWL and OWL 2 ontologies.

• Formal definitions of a comprehensive suite of ontology metrics.

摘要

•Prediction models that accurately estimate ontology reasoning time for reasoners.•A novel and efficient meta-reasoning framework for OWL and OWL 2 ontologies.•Formal definitions of a comprehensive suite of ontology metrics.

论文关键词：OWL,Reasoning,Performance prediction,Ontology,Metrics,Learning,Meta-reasoning,Semantic web

论文评审过程：Received 10 November 2017, Revised 13 March 2019, Accepted 2 July 2019, Available online 10 July 2019, Version of Record 15 July 2019.

论文官网地址：https://doi.org/10.1016/j.is.2019.07.002