An ontology-based data integration approach for web analytics in e-commerce

作者：

Highlights：

• A semantic approach to represent and consolidate web analytic data is proposed.

• An OWL ontology for web analytics in e-commerce is designed and proposed.

• The proposed approach is validated with tracking data of 15 real-world e-shops.

• Obtained semantized data successfully train advanced data mining algorithms.

• We provide actual e-shops with tools to enhance their commercial activities.

摘要

•A semantic approach to represent and consolidate web analytic data is proposed.•An OWL ontology for web analytics in e-commerce is designed and proposed.•The proposed approach is validated with tracking data of 15 real-world e-shops.•Obtained semantized data successfully train advanced data mining algorithms.•We provide actual e-shops with tools to enhance their commercial activities.

论文关键词：Semantic model,Ontology,E-commerce,Web analytics

论文评审过程：Received 15 December 2015, Revised 15 June 2016, Accepted 16 June 2016, Available online 23 June 2016, Version of Record 30 June 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.034