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Information quality assessment for data fusion systems

dc.contributor.authorBecerra M.A
dc.contributor.authorTobón C
dc.contributor.authorCastro-Ospina A.E
dc.contributor.authorPeluffo-Ordóñez D.H.
dc.date.accessioned2022-09-14T14:33:50Z
dc.date.available2022-09-14T14:33:50Z
dc.date.created2021
dc.identifier.issn23065729
dc.identifier.urihttp://hdl.handle.net/11407/7494
dc.descriptionThis paper provides a comprehensive description of the current literature on data fusion, with an emphasis on Information Quality (IQ) and performance evaluation. This literature review highlights recent studies that reveal existing gaps, the need to find a synergy between data fusion and IQ, several research issues, and the challenges and pitfalls in this field. First, the main models, frameworks, architectures, algorithms, solutions, problems, and requirements are analyzed. Second, a general data fusion engineering process is presented to show how complex it is to design a framework for a specific application. Third, an IQ approach, as well as the different methodologies and frameworks used to assess IQ in information systems are addressed; in addition, data fusion systems are presented along with their related criteria. Furthermore, information on the context in data fusion systems and its IQ assessment are discussed. Subsequently, the issue of data fusion systems’ performance is reviewed. Finally, some key aspects and concluding remarks are outlined, and some future lines of work are gathered. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.eng
dc.language.isoeng
dc.publisherMDPI AG
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85108203993&doi=10.3390%2fdata6060060&partnerID=40&md5=7b2ce3b11be1bdcc58681d29111a744a
dc.sourceData
dc.titleInformation quality assessment for data fusion systems
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programCiencias Básicas
dc.type.spaArtículo
dc.identifier.doi10.3390/data6060060
dc.subject.keywordContext assessmenteng
dc.subject.keywordData fusioneng
dc.subject.keywordInformation qualityeng
dc.subject.keywordQuality assessmenteng
dc.relation.citationvolume6
dc.relation.citationissue6
dc.publisher.facultyFacultad de Ciencias Básicas
dc.affiliationBecerra, M.A., Instituto Tecnológico Metropolitano, Cra. 74d #732, Medellín, 050034, Colombia, Facultad de Ciencias Básicas, Universidad de Medellín, MATBIOM, Cra. 87 #30-65, Medellín, 050010, Colombia
dc.affiliationTobón, C., Facultad de Ciencias Básicas, Universidad de Medellín, MATBIOM, Cra. 87 #30-65, Medellín, 050010, Colombia
dc.affiliationCastro-Ospina, A.E., Instituto Tecnológico Metropolitano, Cra. 74d #732, Medellín, 050034, Colombia
dc.affiliationPeluffo-Ordóñez, D.H., Modeling, Simulation and Data Analysis (MSDA) Research Program, Mohammed VI Polytechnic University, Ben Guerir, 47963, Morocco, Faculty of Engineering, Corporación Universitaria Autónoma de Nariño, Carrera 28 No. 19-24, Pasto, 520001, Colombia
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dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
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