Library and Information Service >
Design of the Ontology Semi-automatic Construction System Based On Chinese Patents
Received date: 2012-09-21
Revised date: 2012-12-07
Online published: 2013-02-05
This paper builds a set of domain ontology semi-automatic construction system on the basis of patent documents analysis. This system contains such modules as the terminology extraction, the taxonomic relation extraction, the non-taxonomic relation extraction and the ontology formalization. And it achieves the ontology semi-automatic construction by structured data and non-structured texts preliminarily.
Gu Jun . Design of the Ontology Semi-automatic Construction System Based On Chinese Patents[J]. Library and Information Service, 2013 , 57(03) : 105 -111,146 . DOI: 10.7536/j.issn.0252-3116.2013.03.020
[1] 经济合作与发展组织网站: 2007年专利数据纲要(Compendium of Patent Statistics 2007)[EB/OL]. [2009-12-03].http://www.dec.org/document/10/0,2340,en_2649_34451_1901066_1_1_1_1, 00.html.
[2] 孙艳玲. 专利引文在技术评价及预测中的作用[J].情报学报,1991(8):38-41.
[3] 庞景安,黄迎燕.国内外专利引文数据库的研究与发展[J].情报科学,2004(2):182-187.
[4] Berners-Lee T,Hendler J,Lassila O.The semantic Web[J]. Scientific American,2001,284(5): 28-37.
[5] Maedche A, Staab S. Ontology learning for the semantic Web[J]. Intelligent Systems,2001, 16(2): 72-79.
[6] Missikoff M, Navigli R, Velardi P. Integrated approach to Web ontology learning and engineering[J]. Computer, 2002, 35(11): 60-63.
[7] Brunzel M,Spiliopoulou M. Discovering multiterms and co-hyponymy from xhtml documents with XTREEM[C]//Buitelaar P, Cimiano P. Ontology learning and population: Bridging the gap between text and knowledge[M]. Amsterdam:Ios Pr Inc, 2008:3-26.
[8] Pantel P,Pennacchiotti M. Automatically harvesting and ontologizing semantic relations[C]//Buitelaar P, Cimiano P. Ontology learning and population: Bridging the gap between text and knowledge[M]. Amsterdam:Ios Pr Inc, 2008:171-195.
[9] 温春,王晓斌,石昭祥. 中文领域本体学习中术语的自动抽取[J]. 计算机应用研究,2009(7): 2652-2655.
[10] 张斌,刘增良,余达太,等. 基于粗糙集和模糊聚类的政务本体学习模型[J]. 计算机工程与应用,2010, 46(25): 19-22.
[11] 王岁花,赵爱玲,马巍巍. 从Web中提取中文本体非分类关系的方法[J]. 计算机工程与设计,2010(2): 451-454.
[12] 国内外三种专利申请受理状况总累计表[EB/OL]. [2011-12-22]. http://www.sipo.gov.cn/sipo2008/ghfzs/zltj/zljb/201101/t20110110_562647.html
[13] ICTCLAS简介[EB/OL]. [2012-05-10]. http://ictclas.org/ictclas_feature.html.
[14] 谷俊, 王昊. 基于领域中文文本的术语抽取方法研究[J]. 现代图书情报技术,2011(4): 29-34.
[15] 谷俊, 朱紫阳. 基于聚类算法的本体层次关系获取研究[J]. 现代图书情报技术,2011(12):46-51.
[16] 季培培,鄢小燕,岑咏华,等. 面向领域中文文本信息处理的术语语义层次获取研究[J]. 现代图书情报技术,2010(9): 37-41.[ZK)]
[17] 100004说明书摘要[EB/OL].[2012-02-13].http://www.sipo.gov.cn/bgxz/zlsqbg/ty/100004smszy.doc.
[18] CRF++: Yet Another CRF toolkit[EB/OL].[2012-03-11].http://crfpp.googlecode.com/svn/trunk/doc/index.html.
[19] 谷俊, 严明, 王昊. 基于改进关联规则的本体关系获取研究[J]. 情报理论与实践,2011(12): 121-125.
[20] Apache Jena[EB/OL]. [2012-03-11]. http://incubator.apache.org/jena/.
/
| 〈 |
|
〉 |
