Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Modelling the Information Structure of the Document Based on Specialised Markup Language

Authors
Tatiana Penkova
Corresponding Author
Tatiana Penkova
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.14How to use a DOI?
Keywords
modeling the document information structure; variable information elements; specialised markup language; adaptive model; data exchange
Abstract

The paper presents an approach to modelling the document information structure to provide the operational document formation based on database information. The method of document structuring by highlighting the specific elements of variable information and applying a specialised markup language is proposed here. The algorithm for analysing the document information structure and constructing the adaptive model for visual setting of generation parameters is considered. The examples of method implementation are presented in this paper in case of bidding for government and municipal procurement.

Copyright
© 2017, 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 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
10.2991/ammsa-17.2017.14
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.14How to use a DOI?
Copyright
© 2017, 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
PY  - 2017/05
DA  - 2017/05
TI  - Modelling the Information Structure of the Document Based on Specialised Markup Language
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 66
EP  - 69
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.14
DO  - 10.2991/ammsa-17.2017.14
ID  - Penkova2017/05
ER  -