Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)

Design And Implementation Of Information Representation System For Intelligence Acquisition

Authors
Ru Liu, Menghui Li, Huina Zhang, Yurong Huang, Jingyan Zhou
Corresponding Author
Ru Liu
Available Online October 2017.
DOI
10.2991/jimec-17.2017.20How to use a DOI?
Keywords
Information Representation System; Visualization; Intelligence Acquisition; Hall for WorkShop of Metasynthetic Engineering
Abstract

Information Representation System (IRS) is to transform data information and knowledge into a type of visual information for intelligence officers reading, where the natural ability of mankind to identify visual mode quickly will be made most of. Information representation combines human brains with computers, which are two most powerful information processing systems. Semantic information representation and organization interface will enable us to browse and research massive data and carry out interaction with the data so that the internal features and principles hidden in the information can be found. In this society where information is getting richer day by day, Design and Implementation of Information Representation System have basically changed our way to express and interpret massive and complicated data. The effects of Information Representation System are wide and profound and can lead intelligence officers to have the new interpretation and effective decision.

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 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
Series
Advances in Computer Science Research
Publication Date
October 2017
ISBN
10.2991/jimec-17.2017.20
ISSN
2352-538X
DOI
10.2991/jimec-17.2017.20How 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  - Ru Liu
AU  - Menghui Li
AU  - Huina Zhang
AU  - Yurong Huang
AU  - Jingyan Zhou
PY  - 2017/10
DA  - 2017/10
TI  - Design And Implementation Of Information Representation System For Intelligence Acquisition
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 96
EP  - 100
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.20
DO  - 10.2991/jimec-17.2017.20
ID  - Liu2017/10
ER  -