Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Research and Implementation of TCM Knowledge Acquisition Based on Open Data Source

Authors
Yonghong Xie, Yanxuan Qian, Shuang Ha, Dezheng Zhang
Corresponding Author
Yonghong Xie
Available Online November 2017.
DOI
10.2991/amms-17.2017.16How to use a DOI?
Keywords
open data source; TCM; knowledge acquisition; attribute extraction
Abstract

With the development of online information resource, open data sources are becoming an important channel for domain knowledge acquisition. To establish a comprehensive knowledge base of TCM, this paper choses Baidu Encyclopedia as data source by comparing the data and web structure of the main open TCM related data sources on the Internet. Combining web crawler and pattern matching, this paper studied the related technologies of acquiring TCM knowledge based on open data source and implemented an efficient automatic extension of TCM attributes and attribute values.

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, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
978-94-6252-433-0
ISSN
1951-6851
DOI
10.2991/amms-17.2017.16How 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  - Yonghong Xie
AU  - Yanxuan Qian
AU  - Shuang Ha
AU  - Dezheng Zhang
PY  - 2017/11
DA  - 2017/11
TI  - Research and Implementation of TCM Knowledge Acquisition Based on Open Data Source
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 74
EP  - 78
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.16
DO  - 10.2991/amms-17.2017.16
ID  - Xie2017/11
ER  -