Ontology-driven approach for KPI meta-modelling, selection and reasoning

作者：

Highlights：

• KPIOWL semantic approach is proposed to formally conceptualize a KPI selection model.

• An OWL Ontology and SWRL rules are developed for reasoning on KPI modelling tasks.

• The proposal is validated on real-world use cases about water supply management.

• Obtained semantized data successfully supports in KPI and KRI selection strategy.

• KPIOWL is useful for enriching Business Intelligence modelling processes.

摘要

•KPIOWL semantic approach is proposed to formally conceptualize a KPI selection model.•An OWL Ontology and SWRL rules are developed for reasoning on KPI modelling tasks.•The proposal is validated on real-world use cases about water supply management.•Obtained semantized data successfully supports in KPI and KRI selection strategy.•KPIOWL is useful for enriching Business Intelligence modelling processes.

论文关键词：Ontology,KPI Modelling,Semantics,Reasoning,Knowledge extraction,Water management

论文评审过程：Received 22 April 2019, Revised 2 October 2019, Accepted 2 October 2019, Available online 30 October 2019, Version of Record 15 March 2021.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.10.003