BIGOWL: Knowledge centered Big Data analytics

作者：

Highlights：

• A semantic approach to represent and validate Big Data analytics is proposed.

• An OWL Ontology and SWRL rules are developed for reasoning in workflow design.

• The proposal is validated with two real-world (traffic) and academic cases study.

• Obtained semantized data successfully recommends and validate Big Data tasks.

• We provide actual Big Data practitioners with software to enhance their analytics.

摘要

•A semantic approach to represent and validate Big Data analytics is proposed.•An OWL Ontology and SWRL rules are developed for reasoning in workflow design.•The proposal is validated with two real-world (traffic) and academic cases study.•Obtained semantized data successfully recommends and validate Big Data tasks.•We provide actual Big Data practitioners with software to enhance their analytics.

论文关键词：Ontology,Big Data analytics,Semantics,Knowledge extraction

论文评审过程：Received 5 April 2018, Revised 26 July 2018, Accepted 14 August 2018, Available online 23 August 2018, Version of Record 2 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.026