Imperial College London
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Professor Emil Lupu

Faculty of Engineering, Department of Computing

Professor of Computer Systems
 
 
 
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Contact

 

e.c.lupu Website

 
 
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Location

 

564Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Karafili:2019:10.1007/978-3-030-04849-5_52,
author = {Karafili, E and Spanaki, K and Lupu, E},
doi = {10.1007/978-3-030-04849-5_52},
pages = {603--614},
publisher = {Springer Verlag (Germany)},
title = {Access Control and Quality Attributes of Open Data: Applications and Techniques},
url = {http://dx.doi.org/10.1007/978-3-030-04849-5_52},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Open Datasets provide one of the most popular ways to ac- quire insight and information about individuals, organizations and multiple streams of knowledge. Exploring Open Datasets by applying comprehensive and rigorous techniques for data processing can provide the ground for innovation and value for everyone if the data are handled in a legal and controlled way. In our study, we propose an argumentation and abductive reasoning approach for data processing which is based on the data quality background. Explicitly, we draw on the literature of data management and quality for the attributes of the data, and we extend this background through the development of our techniques. Our aim is to provide herein a brief overview of the data quality aspects, as well as indicative applications and examples of our approach. Our overall objective is to bring serious intent and propose a structured way for access control and processing of open data with a focus on the data quality aspects.
AU  - Karafili,E
AU  - Spanaki,K
AU  - Lupu,E
DO  - 10.1007/978-3-030-04849-5_52
EP  - 614
PB  - Springer Verlag (Germany)
PY  - 2019///
SN  - 1865-1348
SP  - 603
TI  - Access Control and Quality Attributes of Open Data: Applications and Techniques
UR  - http://dx.doi.org/10.1007/978-3-030-04849-5_52
UR  - http://hdl.handle.net/10044/1/68271
ER  -
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