Proceedings of the 2016 International Conference on Management Science and Innovative Education

The Web Semantic Analysis of Port Customer based on Hadoop

Authors
Song Zhang, Lei Huang
Corresponding Author
Song Zhang
Available Online October 2016.
DOI
10.2991/msie-16.2016.30How to use a DOI?
Keywords
Ports; Business Intelligence; external information; semantic analysis; distributed computing.
Abstract

With the changing of ports services market' relationship between supply and demand, companies are trying to assist their decision-making through traditional business intelligence technology. Ports through the internal data collection can play a limited role. Then it needs to be studied through external information. In this paper, we study the port customers Web semantic analysis method based on Hadoop, using distributed computing methods to study extraction port customer-related information.

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 International Conference on Management Science and Innovative Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2016
ISBN
978-94-6252-252-7
ISSN
2352-5398
DOI
10.2991/msie-16.2016.30How 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  - Song Zhang
AU  - Lei Huang
PY  - 2016/10
DA  - 2016/10
TI  - The Web Semantic Analysis of Port Customer based on Hadoop
BT  - Proceedings of the 2016 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 130
EP  - 134
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-16.2016.30
DO  - 10.2991/msie-16.2016.30
ID  - Zhang2016/10
ER  -