Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Development of a Unified Model of Data Representation for Cross-System Interaction

Authors
Tatiana Penkova, Anna Korobko, Artem Belorusov
Corresponding Author
Tatiana Penkova
Available Online November 2016.
DOI
10.2991/aiie-16.2016.11How to use a DOI?
Keywords
cross-system interaction; data integration; unified model; data representation; XML; Relational data base
Abstract

The paper presents an unconventional approach to formation of unified models for representation of cross-system interaction. The authors highlight the necessity of system integration method development that would bring in a standardised way to data exchange between heterogeneous resources with an opportunity of flexible adaptation to the actual conditions in which these systems operate. The paper gives a formal description of the model of cross-system data interaction. Some conversion algorithms were developed to turn the information storage schemes into the unified XML-format and RDB representation.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.11How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tatiana Penkova
AU  - Anna Korobko
AU  - Artem Belorusov
PY  - 2016/11
DA  - 2016/11
TI  - Development of a Unified Model of Data Representation for Cross-System Interaction
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 48
EP  - 51
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.11
DO  - 10.2991/aiie-16.2016.11
ID  - Penkova2016/11
ER  -