OBAVUM: An Ontology-based Approach to Visualizing Urban Mobility Data

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

Authors

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

Conference proceedings International

Title: PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA)

Pages: 206-211

IEEE International Conference on Big Data Analysis (ICBDA)

Hangzhou, PEOPLES R CHINA, MAR 12-14, 2016

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00K-R5N

DOI: 10.1109/icbda.2016.7509825

Abstract (EN): This paper proposes an ontology-based approach to visualizing urban mobility data. Our approach, which is in ongoing development, is centered in a visualization-oriented urban mobility ontology that is used to semantically characterize data and visualization techniques. We present a practical application to a public transportation network of the city of Porto, Portugal. We address how semantics can empower and facilitate tasks like automatic recommendation of visualization techniques, and definition of a data filter based on passengers' journey patterns.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6