The Research of Railway Transportation Business Intelligence Based on Ontology

DOI

10.2991/hssmee-18.2018.31How to use a DOI?

Keywords

Business intelligence system; Ontology; Intelligent decision; Railway.

Abstract

In the 21st century, the world's rapid economic growth brings with it an increase in railway transportation throughput continued year after year, in order to improve the quality of its railway enterprise information management efficiency, business intelligence technology for enterprise operations management, according to the enterprise railway construction scheme proposed business intelligence platform internal management needs. With this business intelligence platform, organizations can make decisions faster, better filtering large amounts of data to improve business operations of enterprises, and ultimately increase the professional level. The role of the ontology is to capture knowledge in related fields and achieves a common understanding of knowledge in the field, make sure all words are commonly recognized in this area, given the relationship between these words from the various levels of formal models clearly defined. The physical structure of a good description of complex data, the use of specialty ontology knowledge representation and reasoning, and build ontology railway business areas. Qualitative knowledge ontology library to implement business intelligence systems reasoning. This paper analyzes the research status and problems of business intelligence and ontology, and after in-depth study of the body and the theory of business intelligence, ontology technology into the railway transportation business intelligence. The actual research in the field of railway transportation business to tease out the business processes can be achieved, given ontology technology areas of business building process.

Copyright

© 2018, 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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TY  - CONF
AU  - Shangyan Jiang
AU  - Lei Huang
PY  - 2018/09
DA  - 2018/09
TI  - The Research of Railway Transportation Business Intelligence Based on Ontology
BT  - Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
PB  - Atlantis Press
SP  - 182
EP  - 187
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssmee-18.2018.31
DO  - 10.2991/hssmee-18.2018.31
ID  - Jiang2018/09
ER  -