An Ontology-based approach to Knowledge-assisted Integration and Visualization of Urban Mobility Data

作者：

Highlights：

• An ontology for integration and visualization of urban mobility data is proposed.

• The ontology provides a semantic foundation for knowledge-assisted visualization tools.

• Visualization and domain expert knowledge can be modeled using the ontology.

• The built-in rule set infers compatible visualizations and visual patterns in data.

• The proposed structure for expert knowledge can feed recommendation methods.

摘要

•An ontology for integration and visualization of urban mobility data is proposed.•The ontology provides a semantic foundation for knowledge-assisted visualization tools.•Visualization and domain expert knowledge can be modeled using the ontology.•The built-in rule set infers compatible visualizations and visual patterns in data.•The proposed structure for expert knowledge can feed recommendation methods.

论文关键词：Data integration,Data visualization,Urban mobility,Semantic web,ontology

论文评审过程：Received 8 October 2019, Revised 13 January 2020, Accepted 29 January 2020, Available online 30 January 2020, Version of Record 7 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113260