150044 20251017144636.0 doi 10.1007/978-3-031-16663-1_3 sideral 142372 ART-2022-142372 eng Martínez, David TAQE: a data modeling framework for traffic and air quality applications in smart cities 2022 Access copy available to the general public Unrestricted Air quality and traffic monitoring and prediction are critical problems in urban areas. Therefore, in the context of smart cities, many relevant conceptual models and ontologies have already been proposed. However, the lack of standardized solutions boost development costs and hinder data integration between different cities and with other application domains. This paper proposes a classification of existing models and ontologies related to Earth observation and modeling and smart cities in four levels of abstraction, which range from completely general-purpose frameworks to application-specific solutions. Based on such classification and requirements extracted from a comprehensive set of state-of-the-art applications, TAQE, a new data modeling framework for air quality and traffic data, is defined. The effectiveness of TAQE is evaluated both by comparing its expressiveness with the state-of-the-art of the same application domain and by its application in the "TRAFAIR -Understanding traffic flows to improve air quality" EU project. info:eu-repo/grantAgreement/ES/AEI/PID2020-113037RB-I00 info:eu-repo/grantAgreement/EC/CEF Telecom/2017-EU-IA-0167/EU/Understanding Traffic Flows to Improve Air quality/TRAFAIR info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.32 2022 Computer Science (miscellaneous) 2022 Q3 Theoretical Computer Science 2022 Q4 2.2 2022 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Po, Laura Trillo-Lado, Raquel Universidad de Zaragoza (orcid)0000-0001-6008-1138 Viqueira, José R. R. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 13403 (2022), 25-40 Lect. notes comput. sci. Lecture Notes in Computer Science 0302-9743 460564 http://zaguan.unizar.es/record/150044/files/texto_completo.pdf Postprint 1443944 http://zaguan.unizar.es/record/150044/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:150044 articulos driver 2025-10-17-14:29:36 ARTICLE