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Author Todoran, Ion-George ♦ Lecornu, Laurent ♦ Khenchaf, Ali ♦ Caillec, Jean-Marc Le
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Information quality ♦ Complex information system ♦ Quality measures ♦ Quality transfer function
Abstract Assessing the quality of the information proposed by an information system has become one of the major research topics in the last two decades. A quick literature survey shows that a significant number of information quality frameworks are proposed in different domains of application: management information systems, web information systems, information fusion systems, and so forth. Unfortunately, they do not provide a feasible methodology that is both simple and intuitive to be implemented in practice. In order to address this need, we present in this article a new information quality methodology. Our methodology makes use of existing frameworks and proposes a three-step process capable of tracking the quality changes through the system. In the first step and as a novelty compared to existing studies, we propose decomposing the information system into its elementary modules. Having access to each module allows us to locally define the information quality. Then, in the second step, we model each processing module by a quality transfer function, capturing the module’s influence over the information quality. In the third step, we make use of the previous two steps in order to estimate the quality of the entire information system. Thus, our methodology allows informing the end-user on both output quality and local quality. The proof of concept of our methodology has been carried out considering two applications: an automatic target recognition system and a diagnosis coding support system.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-06-03
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 6
Issue Number 2-3
Page Count 23
Starting Page 1
Ending Page 23

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Source: ACM Digital Library