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New Technology of Library and Information Service  2013, Vol. 29 Issue (10): 73-78    DOI: 10.11925/infotech.1003-3513.2013.10.12
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Study on Ontology Relation Extraction in Chinese Patent Documents
Gu Jun1, Xu Xin2
1. Baoshan Iron and Steel Co, Ltd., Shanghai 201900, China;
2. Department of Informatics, Business School, East China Normal University, Shanghai 200241, China
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Abstract  This paper promotes a method which collects the non-taxonomic relation from the Chinese patents' texts. Firstly, it analyzes the syntax of abstract texts, then constructs the sub-sentences extraction rules by domain sentence,character sentence, module & craft sentence and effect sentence. Secondly, artificially labels the terms of sub-sentences by label symbols such as BIEO, creates a scale of training data set. Thirdly, learns the training data and extracts the new data by CRFs. Finally, analyzes the experiment results and verifies the validity of the method.
Key wordsRule matching      CRFs      Ontology learning      Non-taxonomic relation     
Received: 19 July 2013      Published: 04 November 2013
:  TP391  

Cite this article:

Gu Jun, Xu Xin. Study on Ontology Relation Extraction in Chinese Patent Documents. New Technology of Library and Information Service, 2013, 29(10): 73-78.

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