000150044 001__ 150044
000150044 005__ 20250130182920.0
000150044 0247_ $$2doi$$a10.1007/978-3-031-16663-1_3
000150044 0248_ $$2sideral$$a142372
000150044 037__ $$aART-2022-142372
000150044 041__ $$aeng
000150044 100__ $$aMartínez, David
000150044 245__ $$aTAQE: a data modeling framework for traffic and air quality applications in smart cities
000150044 260__ $$c2022
000150044 5060_ $$aAccess copy available to the general public$$fUnrestricted
000150044 5203_ $$aAir 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.
000150044 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113037RB-I00$$9info:eu-repo/grantAgreement/EC/CEF Telecom/2017-EU-IA-0167/EU/Understanding Traffic Flows to Improve Air quality/TRAFAIR
000150044 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000150044 592__ $$a0.32$$b2022
000150044 593__ $$aComputer Science (miscellaneous)$$c2022$$dQ3
000150044 593__ $$aTheoretical Computer Science$$c2022$$dQ4
000150044 594__ $$a2.2$$b2022
000150044 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000150044 700__ $$aPo, Laura
000150044 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza
000150044 700__ $$aViqueira, José R. R.
000150044 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000150044 773__ $$g13403 (2022), 25-40$$pLect. notes comput. sci.$$tLecture Notes in Computer Science$$x0302-9743
000150044 8564_ $$s460564$$uhttps://zaguan.unizar.es/record/150044/files/texto_completo.pdf$$yPostprint
000150044 8564_ $$s1443944$$uhttps://zaguan.unizar.es/record/150044/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000150044 909CO $$ooai:zaguan.unizar.es:150044$$particulos$$pdriver
000150044 951__ $$a2025-01-30-16:18:02
000150044 980__ $$aARTICLE