Please wait a minute...
New Technology of Library and Information Service  2008, Vol. 24 Issue (5): 21-26    DOI: 10.11925/infotech.1003-3513.2008.05.04
Current Issue | Archive | Adv Search |
Research on Automatic Construction of Chinese Traditional Medicine Ontology Concept’s Description Architecture
Liu Yao1  Shui Zhifang2   Zhou Yang3   Wang Zhenguo3
1(Institute of Scientific and Technical Information of China，Beijing 100038, China)
2(Institute of Computational Linguistics, Peking University, Beijing 100871, China)
3(Institute of Chinese Medical History and Literature，Shandong University of Traditional Chinese Medicine, Jinan 250014, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

 This paper makes further study on data needed by automatic construction for Chinese medicinal Ontology concept description architecture,  reconstructs and uses recognized knowledge in Chinese medicine’s domain by theory and technology of NLP. The authors realize automatic construction and acquisition of Chinese medicine knowledge description architecture successfully.  It revolves bottleneck problems of Ontology study effectively to lay the data base for Chinese knowledge’s dining and use. Untill now, this has been more ideal and applied method and its successful study would provide theory gist and technology support for professional domain Ontology’s automatic construction.
Key words： Natural language processing      Chinese traditional medicine      Ontology      Knowledge engineering     
Received: 05 March 2008      Published: 05 March 2008
: 

TP391.9

 		 
Corresponding Authors: Liu Yao     E-mail: liuy@istic.ac.cn
About author:: Liu Yao,Shui Zhifang,Zhou Yang,Wang Zhenguo
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article:

Liu Yao,Shui Zhifang,Zhou Yang,Wang Zhenguo. Research on Automatic Construction of Chinese Traditional Medicine Ontology Concept’s Description Architecture. New Technology of Library and Information Service, 2008, 24(5): 21-26.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2008.05.04     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2008/V24/I5/21

［1］ 刘耀，穗志方．领域Ontology概念描述体系构建方法探析［J］．大学图书馆学报，2006，24（5）：28-33.
［2］ 吴兰成．中国中医药学主题词表［M］．北京：中医古籍出版社，1996.
［3］ 李振吉．中医药常用名词术语辞典［M］． 北京：中国中医药出版社，2001.
［4］ 俞士汶，段慧明，朱学锋，等．综合型语言知识库的建设与利用［J］．中文信息学报，2004，18(5)：1-10
［5］ 俞士汶，段慧明．北京大学现代汉语语料库基本加工规范［J］．中文信息学报， 2002,16(5)：49-64.
［6］ 俞士汶，朱学锋.大规模现代汉语标注语料库的加工规范［J］. 中文信息学报， 2000，14(6):58-64.
［7］ 刘耀，穗志方，胡永伟，等．领域Ontology自动构建研究［J］．北京邮电大学学报，2006，29 (Z2)：65-69.
[1] Wang Yifan,Li Bo,Shi Hua,Miao Wei,Jiang Bin. Annotation Method for Extracting Entity Relationship from Ancient Chinese Works[J]. 数据分析与知识发现, 2021, 5(9): 63-74.
[2] Sheng Shu, Huang Qi, Yang Yang, Xie Qiwen, Qin Xinguo. Exchanging Chinese Medical Information Based on HL7 FHIR[J]. 数据分析与知识发现, 2021, 5(11): 13-28.
[3] Zeng Zhen,Li Gang,Mao Jin,Chen Jinghao. Data Governance and Domain Ontology of Regional Public Security[J]. 数据分析与知识发现, 2020, 4(9): 41-55.
[4] Wei Guohui,Zhang Fengcong,Fu Xianjun,Wang Zhenguo. Similarity Measurement of Traditional Chinese Medicine Components for Cold-hot Nature Discrimination[J]. 数据分析与知识发现, 2020, 4(5): 75-83.
[5] Mingxuan Huang,Shoudong Lu,Hui Xu. Cross-Language Information Retrieval Based on Weighted Association Patterns and Rule Consequent Expansion[J]. 数据分析与知识发现, 2019, 3(9): 77-87.
[6] Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR[J]. 数据分析与知识发现, 2019, 3(8): 94-104.
[7] Jiahui Hu,An Fang,Wanqing Zhao,Chenliu Yang,Huiling Ren. Annotating Chinese E-Medical Record for Knowledge Discovery[J]. 数据分析与知识发现, 2019, 3(7): 123-132.
[8] Shiqi Deng,Liang Hong. Constructing Domain Ontology for Intelligent Applications: Case Study of Anti Tele-Fraud[J]. 数据分析与知识发现, 2019, 3(7): 73-84.
[9] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[10] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[11] Ying Wang,Li Qian,Jing Xie,Zhijun Chang,Beibei Kong. Building Knowledge Graph with Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(1): 15-26.
[12] He Youshi,He Shufang. Sentiment Mining of Online Product Reviews Based on Domain Ontology[J]. 数据分析与知识发现, 2018, 2(8): 60-68.
[13] Tang Huihui,Wang Hao,Zhang Zixuan,Wang Xueying. Extracting Names of Historical Events Based on Chinese Character Tags[J]. 数据分析与知识发现, 2018, 2(7): 89-100.
[14] Pang Beibei,Gou Juanqiong,Mu Wenxin. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[15] Ding Shengchun,Liu Menglu,Fu Zhu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design[J]. 数据分析与知识发现, 2018, 2(2): 11-19.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn