[1]李欣,李绍稳,许高建,等.基于正则抽取的竹种数据结构化方法研究[J].计算机技术与发展,2018,28(06):147-150.[doi:10.3969/ j. issn.1673-629X.2018.06.033]
　LI Xin,LI Shao-wen,XU Gao-jian,et al. Research on a Data Structuralization Method of Bamboo Species Based on Regular Extraction Model[J].,2018,28(06):147-150.[doi:10.3969/ j. issn.1673-629X.2018.06.033]
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基于正则抽取的竹种数据结构化方法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年06期
页码:
147-150
栏目:
应用开发研究
出版日期:
2018-06-10

文章信息/Info

Title:
 Research on a Data Structuralization Method of Bamboo Species Based on Regular Extraction Model
文章编号:
1673-629X(2018)06-0147-04
作者:
李欣; 李绍稳; 许高建; 林建彬
安徽农业大学 信息与计算机学院,安徽 合肥 230036
Author(s):
LI Xin; LI Shao-wen; XU Gao-jian; LIN Jian-bin
School of Information and Computer Science,Anhui Agricultural University,Hefei 230036,China
关键词:
信息抽取; 正则表达式; 竹种数据; 数据结构化
Keywords:
information extraction; regular expression; bamboo species data; data structuring
分类号:
TP391
DOI:
10.3969/ j. issn.1673-629X.2018.06.033
文献标志码:
A
摘要:
研究旨在通过基于规则的信息抽取技术解决竹类种质资源(简称竹种)数据的自动提取和结构化存储问题,为快速构建竹种数据库提出一种基于正则抽取模型的竹种数据结构化方法。 该方法以竹种数据库表结构为抽取模板,以数据表属性名称为规则触发词,利用正则表达式构建抽取规则,构建正则抽取模型。 以中国植物志在线版为实验对象,通过网页解析和字段抽取两步实现了竹种数据的自动抽取与结构化,实验抽取竹种信息五百多条,取数据表前八个字段进行抽样统计分析,抽取竹种有效字段信息准确率高达 89%以上。 实验结果表明,基于正则抽取的竹种数据结构化方法是可行有效的,并采用 Java 语言开发了竹种信息抽取系统,实现了该方法。
Abstract:
This study aims to provide a effective and feasible method for efficiently constructing the Bamboo species database by automatically extracting and structurally storing the morphological data of Bamboo germplasm resources (Bamboo species) through the information extraction technology. To develop the Bamboo regular extraction model,the Bamboo species structure is used as extraction template,database properties as regulation triggers and then the extraction regulation is constructed by regular expression. The experimental objective is set as the flora of Chinese online edition,and then the Bamboo species data is structurally extracted by two steps including web crawler and text extraction. Over five hundred of Bamboo species information is extracted. The accuracy rate of effective field information for extracted Bamboo species is more than 89%. The suggested method is achieved by developing the Bamboo species data extraction system using Java language. On the basis of regular expression,it is a feasible and effective data structuring method.

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更新日期/Last Update: 2018-08-22