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Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text.

Abstract：

:Traditional Chinese medicine has developed over more than 4000 years. A tremendous amount of medical knowledge has been accumulated, among which herbal drugs and formulae are an important portion. This paper presents an ontology for traditional Chinese drugs and formulae, and an ontology-based system for extracting knowledge of drugs and formulae from semi-structured text. The system consists of two components: an executable knowledge extraction language (or EKEL) for specifying knowledge-extracting agents, and a support machine for executing EKEL programs. Experiments show that the system is adequate of extracting knowledge of herbal drugs and formulae from semi-structured text.

journal_name

Artif Intell Med

journal_title

Artificial intelligence in medicine

authors

Cao C,Wang H,Sui Y

doi

10.1016/j.artmed.2004.01.015

subject

Has Abstract

pub_date

2004-09-01 00:00:00

pages

3-13

issue

1

eissn

0933-3657

issn

1873-2860

pii

S0933365704000429

journal_volume

32

pub_type

杂志文章

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