数据源分析研究——《现代本草纲目》植物药条目分析  

Research and analysis of data source——Analysis of the items of medical plants in Xiandai Bencao Gangmu

作　　者：林端宜[1] 周常恩[1] 赖新梅[1] 杨淑静[2] 

机构地区：[1]福建中医学院信息所,福建福州350003 [2]福建中医学院中医系,福建福州350003

出　　处：《中国中药杂志》2008年第17期2094-2096,共3页China Journal of Chinese Materia Medica

基　　金：福建省科技厅重点项目(2006Y0016)

摘　　要：科学数据是知识创新之源,要打破数据堆积而信息贫乏的局面,要获得高信息含量的、有用的知识,建库之初要对原始数据进行清理,确保数据的准确、不含噪声。优质数据来自优质数据源,但,中药数据源普遍存在一定的缺失、错误和不规范现象,部分数据源的数据缺乏考证,同物异名、同名异物现象比较严重;各数据源间对于中药正名、原植物基原描述不统一。因此,在建中药类数据库过程中数据加工处理是不可或缺的工作,分析与考证成为必不可少的流程。作者就《现代本草纲目》植物药条目进行分析,包括对中药来源植物分类分析:分类分布分析、药用部位分析;同物异名与同名异物分析;错误数据分析以及数据源优势、不足分析等,以甄别最准确的和最规范的数据做为系统数据。Scientific data is the source of innovation in knowledge. In order to change the situation that there is few information in plenty of data and to obtain useful knowledge which has high information content, it is necessary to clean data and ensure data＇s accuracy and without noise off when database is established initially. High-quality data comes from high-quality data source. But incomplete and incorrect and irregular data exist widely in the data source of Chinese materia medica. The phenomenon of synonyms and homonym is quite serious, and there is no unified description for the name and origin of Chinese materia medica among different data sources. So data processing including data analysis and research is very important in the establishment of Chinese materia medica database. In order to get the most accurate and standard data, this paper analyzed the items of Medical Plants in Xiandai Bencao Gangmu, including classification analysis of medical plants： distribution analysis of different classes and analysis of medical part; analysis of synonyms and homonym ; analysis of incorrect data and analysis of advantage and disadvantage of data sources.

关 键 词：中药 数据源 植物分类 同物异名 同名异物 数据分析 

分 类 号：R281[医药卫生—中药学]