Information Quality Assessment for Data Fusion Systems
Miguel A. Becerra,
Catalina Tobón,
Andrés Eduardo Castro-Ospina and
Diego H. Peluffo-Ordóñez
Additional contact information
Miguel A. Becerra: Instituto Tecnológico Metropolitano, Cra. 74d #732, Medellín 050034, Colombia
Catalina Tobón: Facultad de Ciencias Básicas, Universidad de Medellín, MATBIOM, Cra. 87 #30-65, Medellín 050010, Colombia
Andrés Eduardo Castro-Ospina: Instituto Tecnológico Metropolitano, Cra. 74d #732, Medellín 050034, Colombia
Diego H. Peluffo-Ordóñez: Modeling, Simulation and Data Analysis (MSDA) Research Program, Mohammed VI Polytechnic University, Ben Guerir 47963, Morocco
Data, 2021, vol. 6, issue 6, 1-30
Abstract:
This 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.
Keywords: context assessment; data fusion; information quality; quality assessment (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:6:y:2021:i:6:p:60-:d:571326
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