VUMO: Towards an Ontology of Urban Mobility Events for Supporting Semi-Automatic Visualization Tools

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Sobral, T (Author) Other; Teresa Galvão Dias (Author) FEUP; José Luís Moura Borges (Author) FEUP

Conference proceedings International

Title: IEEE 19th International Conference on Intelligent Transportation Systems: Proceedings

Pages: 1700-1705

ITSC 2016 - 19th IEEE International Conference on Intelligent Transportation Systems

Rio de Janeiro, 1 de novembro de 2016

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00M-CQ0

DOI: 10.1109/itsc.2016.7795787

Abstract (EN): This paper introduces VUMO, a visualization-oriented ontology that formalizes the knowledge about urban mobility events (e.g. ridership and travel intentions) and visualization techniques. It focuses on serving as a foundation for the development of semi-automatic visualization tools, while also facilitating the process of data integration. The ontology allows techniques to be characterized with human perception factors, so they can be considered when automatically infering recommended techniques for a dataset. The ultimate goal is to benefit transportation decision makers and foster the development of semantically rich visualization techniques. We propose a structured visualization workflow based on VUMO, and apply it to the development of a prototype featuring real data extracted from a journey planner mobile application.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6