%0 Conference Proceedings
%T A Quality Assessment Framework for Large Datasets of Container-Trips Information
%+ European Commission - Joint Research Centre [Ispra] (JRC)
%A Makridis, Michail
%A Fidalgo-Merino, Raúl
%A Cotelo-Lema, José-Antonio
%A Tsois, Aris
%A Checchi, Enrico
%Z Part 10: Miscellanous
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 729-740
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_63
%K Quality assessment
%K Knowledge validation
%K Qualitative indicators
%K Supply chain
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Customs worldwide are facing the challenge of supervising huge volumes of containerized trade arriving to their country with resources allowing them to inspect only a minimal fraction of it. Risk assessment procedures can support them on the selection of the containers to inspect. The Container-Trip information (CTI) is an important element for that evaluation, but is usually not available with the needed quality. Therefore, the quality of the computed CTI records from any data sources that may use (e.g. Container Status Messages), needs to be assessed. This paper presents a quality assessment framework that combines quantitative and qualitative domain specific metrics to evaluate the quality of large datasets of CTI records and to provide a more complete feedback on which aspects need to be revised to improve the quality of the output data. The experimental results show the robustness of the framework in highlighting the weak points on the datasets and in identifying efficiently cases of potentially wrong CTI records.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637491/document
%2 https://inria.hal.science/hal-01637491/file/419526_1_En_63_Chapter.pdf
%L hal-01637491
%U https://inria.hal.science/hal-01637491
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842