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New Technology of Library and Information Service  2009, Vol. 3 Issue (2): 23-28    DOI: 10.11925/infotech.1003-3513.2009.02.04
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Ontology-based Patent Abstracts' Knowledge Extraction
Jiang Caihong  Qiao Xiaodong  Zhu Lijun
(Institute of Scientific and Technical Information of China, Beijing 100038, China)
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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.

Key wordsKnowledge extraction      Ontology      Patent abstract      Knowledge base     
Received: 24 November 2008      Published: 25 February 2009



Corresponding Authors: Jiang Caihong     E-mail:
About author:: Jiang Caihong,Qiao Xiaodong ,Zhu Lijun

Cite this article:

Jiang Caihong,Qiao Xiaodong ,Zhu Lijun. Ontology-based Patent Abstracts' Knowledge Extraction. New Technology of Library and Information Service, 2009, 3(2): 23-28.

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