000145554 001__ 145554
000145554 005__ 20241108105822.0
000145554 0247_ $$2doi$$a10.1016/j.envsoft.2024.106248
000145554 0248_ $$2sideral$$a140407
000145554 037__ $$aART-2025-140407
000145554 041__ $$aeng
000145554 100__ $$aMartínez, David
000145554 245__ $$aA conceptual data modeling framework with four levels of abstraction for environmental information
000145554 260__ $$c2025
000145554 5060_ $$aAccess copy available to the general public$$fUnrestricted
000145554 5203_ $$aEnvironmental data generated by observation infrastructures and models is widely heterogeneous in both structure and semantics. The design and implementation of an ad hoc data model for each new dataset is costly and creates barriers for data integration. On the other hand, designing a single data model that supports any kind of environmental data has shown to be a complex task, and the resulting tools do not provide the required efficiency. In this paper, a new data modeling framework is proposed that enables the reuse of generic structures among different application domains and specific applications. The framework considers four levels of abstraction for the data models. Levels 1 and 2 provide general data model structures for environmental data, based on those defined by the Observations and Measurements (O&M) standard of the Open Geospatial Consortium (OGC). Level 3 incorporates generic data models for different application areas, whereas specific application models are designed at Level 4, reusing structures of the previous levels. Various use cases were implemented to illustrate the capabilities of the framework. A performance evaluation using six datasets of three different use cases has shown that the query response times achieved over the structures of Level 4 are very good compared to both ad hoc models and to a direct implementation of O&M in a Sensor Observation Service (SOS) tool. A qualitative evaluation shows that the framework fulfills a collection of general requirements not supported by any other existing solution.
000145554 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000145554 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145554 700__ $$aPo, Laura
000145554 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza
000145554 700__ $$aViqueira, José R.R.
000145554 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000145554 773__ $$g183 (2025), 106248 [23 pp.]$$pEnviron. model. softw.$$tENVIRONMENTAL MODELLING & SOFTWARE$$x1364-8152
000145554 8564_ $$s4550089$$uhttps://zaguan.unizar.es/record/145554/files/texto_completo.pdf$$yVersión publicada
000145554 8564_ $$s2602841$$uhttps://zaguan.unizar.es/record/145554/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145554 909CO $$ooai:zaguan.unizar.es:145554$$particulos$$pdriver
000145554 951__ $$a2024-11-08-10:37:54
000145554 980__ $$aARTICLE