Details
Name
José Luís BorgesCluster
Industrial and Systems EngineeringRole
Senior ResearcherSince
01st July 2013
Nationality
PortugalCentre
Industrial Engineering and ManagementContacts
+351 22 209 4190
jose.l.borges@inesctec.pt
2020
Authors
Sobral, T; Galvao, T; Borges, J;
Publication
Expert Systems with Applications
Abstract
This paper proposes an ontology-based framework to support integration and visualization of data from Intelligent Transportation Systems. These activities may be technically demanding for transportation stakeholders, due to technical and human factors, and may hinder the use of visualization tools in practice. The existing ontologies do not provide the necessary semantics for integration of spatio-temporal data from such systems. Moreover, a formal representation of the components of visualization techniques and expert knowledge can leverage the development of visualization tools that facilitate data analysis. The proposed Visualization-oriented Urban Mobility Ontology (VUMO) provides a semantic foundation to knowledge-assisted visualization tools (KVTs). VUMO contains three facets that interrelate the characteristics of spatio-temporal mobility data, visualization techniques and expert knowledge. A built-in rule set leverages semantic technologies standards to infer which visualization techniques are compatible with analytical tasks, and to discover implicit relationships within integrated data. The annotation of expert knowledge encodes qualitative and quantitative feedback from domain experts that can be exploited by recommendation methods to automate part of the visualization workflow. Data from the city of Porto, Portugal were used to demonstrate practical applications of the ontology for each facet. As a foundational domain ontology, VUMO can be extended to meet the distinctiveness of a KVT. © 2020
2020
Authors
Ribeiro, J; Fontes, T; Soares, C; Borges, JL;
Publication
Transportation Research Procedia
Abstract
2020
Authors
Fontes, T; Correia, R; Ribeiro, J; Borges, JL;
Publication
Transport and Telecommunication Journal
Abstract
2019
Authors
Sobral, T; Galvao, T; Borges, J;
Publication
Sensors (Switzerland)
Abstract
Intelligent Transportation Systems are an important enabler for the smart cities paradigm. Currently, such systems generate massive amounts of granular data that can be analyzed to better understand people’s dynamics. To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools. Data visualization provides multiple perspectives on data and supports the analytical tasks of domain experts. This article surveys related studies to analyze which topics of urban mobility were addressed and their related phenomena, and to identify the adopted visualization techniques and sensors data types. We highlight research opportunities based on our findings. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
2019
Authors
Costa, V; Fontes, T; Borges, JL; Dias, TG;
Publication
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Intelligent Transport Systems, From Research and Development to the Market Uptake
Abstract
Supervised Thesis
2019
Author
Francisca Inês Finz de Carvalho Braga César
Institution
UP-FEUP
2019
Author
Vera Lúcia Freitas da Costa
Institution
UP-FEUP
2019
Author
Thiago Sobral Marques da Silva
Institution
UP-FEUP
2019
Author
João de Sousa Soares de Sousa Guedes
Institution
UP-FEUP
2019
Author
Catarina Lima Carneiro Marques dos Santos
Institution
UP-FEUP
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