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An Advanced Search System to Manage SARS-CoV-2 and COVID-19 Data Using a Model-Driven Development Approach

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dc.contributor.author León-Palacio, Ana es_ES
dc.contributor.author García-Simón, Alberto es_ES
dc.contributor.author Pastor López, Oscar es_ES
dc.date.accessioned 2023-06-16T18:02:05Z
dc.date.available 2023-06-16T18:02:05Z
dc.date.issued 2022 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194308
dc.description.abstract [EN] The pandemic outbreak of COVID-19 has allowed the proliferation of an unprecedented amount of data that must be organized and connected in a way that allows its efficient management. Nevertheless, the speed at which all of this knowledge is being generated has highlighted the shortcomings of the research community in creating well-organized, standardized, and structured databases. Despite the efforts of the community to develop advanced integrative platforms such as CovidGraph, we have identified some limitations when using these solutions that we think are derived from the lack of a sound ontological schema to guide the collection, standardization, and integration of data. This work explores the advantages and disadvantages for the final user of building advanced information systems using a Model Driven Development approach to integrate heterogeneous and complex data using an ontological background as a basis. As a proof of concept, we built a database (CovProt) to integrate data about different aspects of SARS-CoV-2 using this approach, we analyzed the advantages and disadvantages of using this approach compared to CovidGraph by performing a set of queries in CovProt and CovidGraph, and finally, we compared the structure and redundancy of the retrieved data. es_ES
dc.description.sponsorship This work was supported in part by the Spanish State Research Agency and the Generalitat Valenciana under the Project PROMETEO/2018/176 and Project INNEST/2021/57, in part by the Spanish Ministry of Universities and the Universitat Politecnica de Valencia under the Margarita Salas Next Generation EU Grant, and in part by European Regional Development Fund (ERDF) and the European Union NextGenerationEU/Plan de Recuperacion, Transformacion y Resiliencia (PRTR). es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Access es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Conceptual model es_ES
dc.subject Graph data model es_ES
dc.subject MDDCOVID-19 es_ES
dc.subject Design methods es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title An Advanced Search System to Manage SARS-CoV-2 and COVID-19 Data Using a Model-Driven Development Approach es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/ACCESS.2022.3169268 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA VALENCIANA DE LA INNOVACION//INNEST%2F2021%2F57//SISTEMA INTELIGENTE DE APOYO A LA TOMA DE DECISIONES CLÍNICAS EN MEDICINA DE PRECISIÓN/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2018%2F176//GISPRO-GENOMIC INFORMATION SYSTEMS PRODUCTION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation León-Palacio, A.; García-Simón, A.; Pastor López, O. (2022). An Advanced Search System to Manage SARS-CoV-2 and COVID-19 Data Using a Model-Driven Development Approach. IEEE Access. 10:43528-43534. https://doi.org/10.1109/ACCESS.2022.3169268 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/ACCESS.2022.3169268 es_ES
dc.description.upvformatpinicio 43528 es_ES
dc.description.upvformatpfin 43534 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.identifier.eissn 2169-3536 es_ES
dc.relation.pasarela S\464844 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder AGENCIA VALENCIANA DE LA INNOVACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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upv.costeAPC 2300 es_ES


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