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基于本体的专利摘要知识抽取*
引用本文:姜彩红,乔晓东,朱礼军.基于本体的专利摘要知识抽取*[J].现代图书情报技术,2009,3(2):23-28.
作者姓名:姜彩红  乔晓东  朱礼军
作者单位:中国科学技术信息研究所,北京,100038
基金项目:国家科技支撑计划,中国科学技术信息研究所重点工作项目,中国科学技术信息研究所资助项目 
摘    要:采用知识工程的方法,对“新能源汽车”中文专利摘要进行研究分析,提出了一个基于本体的中文专利摘要抽取模型。通过构建相应的本体、收集相关的词表、撰写相应的规则,并利用这些规则对专利摘要进行知识抽取结果,抽取结果辅助完成专利知识库的自动构建。即就如何组织非结构化信息以及如何自动构建知识库的进行尝试,验证了基于本体对专利摘要进行知识抽取的可行性。

关 键 词:知识抽取  本体  专利摘要  知识库
收稿时间:2008-11-24

Ontology-based Patent Abstracts' Knowledge Extraction
Jiang Caihong,Qiao Xiaodong,Zhu Lijun.Ontology-based Patent Abstracts'' Knowledge Extraction[J].New Technology of Library and Information Service,2009,3(2):23-28.
Authors:Jiang Caihong  Qiao Xiaodong  Zhu Lijun
Institution:(Institute of Scientific and Technical Information of China, Beijing 100038, China)
Abstract:This paper analyzes Chinese patent abstract about alternative energy vehicles by way of knowledge engineering method, and puts forward an Ontology-based knowledge extraction model for Chinese patent abstracts. Main stages in building the model include: to construct a corresponding Ontology, to collect a related word list, to write corresponding rules. These rules are utilized to extract underlying knowledge in patent abstracts. The result aids in the automatic construction of patent knowledge base. This paper is an attempt on how to organize unstructed information and on how to automatically construct a knowledge base, and verifies the feasibility of Ontology-based patent abstracts' knowledge extraction.
Keywords:Knowledge extraction  Ontology  Patent abstract  Knowledge base
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