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Title: An argumentation reasoning approach for data processing
Authors: Karafili, E.
Spanaki, Konstantina
Lupu, Emil
Keywords: Data processing
Data quality
Usage control
Argumentation reasoning
Data manufacturing
Case scenarios
Issue Date: 2017
Publisher: Elsevier © The Authors
Citation: KARAFILI, E., SPANAKI, K. and LUPU, E., 2017. An argumentation reasoning approach for data processing. Computers in Industry, 94, pp. 52-61.
Abstract: Data-intensive environments enable us to capture information and knowledge about the physical surroundings, to optimise our resources, enjoy personalised services and gain unprecedented insights into our lives. However, to obtain these endeavours extracted from the data, this data should be generated, collected and the insight should be exploited. Following an argumentation reasoning approach for data processing and building on the theoretical background of data management, we highlight the importance of data sharing agreements (DSAs) and quality attributes for the proposed data processing mechanism. The proposed approach is taking into account the DSAs and usage policies as well as the quality attributes of the data, which were previously neglected compared to existing methods in the data processing and management field. Previous research provided techniques towards this direction; however, a more intensive research approach for processing techniques should be introduced for the future to enhance the value creation from the data and new strategies should be formed around this data generated daily from various devices and sources.
Description: Supported by FP7 EU-funded project Coco Cloud grant no.: 610853, and EPSRC Project CIPART grant no. EP/L022729/1.
Sponsor: This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Version: Published
DOI: 10.1016/j.compind.2017.09.002
URI: https://dspace.lboro.ac.uk/2134/26584
Publisher Link: https://doi.org/10.1016/j.compind.2017.09.002
ISSN: 0166-3615
Appears in Collections:Published Articles (Business)

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