Imperial College London

Professor Emil Lupu

Faculty of EngineeringDepartment of Computing

Professor of Computer Systems



e.c.lupu Website




564Huxley BuildingSouth Kensington Campus






BibTex format

author = {Karafili, E and Spanaki, K and Lupu, E},
doi = {10.1016/j.compind.2017.09.002},
journal = {Computers in Industry},
pages = {52--61},
title = {An Argumentation Reasoning Approach for Data Processing},
url = {},
volume = {94},
year = {2017}

RIS format (EndNote, RefMan)

AB - 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.
AU - Karafili,E
AU - Spanaki,K
AU - Lupu,E
DO - 10.1016/j.compind.2017.09.002
EP - 61
PY - 2017///
SN - 0166-3615
SP - 52
TI - An Argumentation Reasoning Approach for Data Processing
T2 - Computers in Industry
UR -
UR -
VL - 94
ER -