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New Technology of Library and Information Service  2013, Vol. 29 Issue (3): 77-82    DOI: 10.11925/infotech.1003-3513.2013.03.13
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Extract Semantic Relations Between Biomedical Entities Applied Hybrid Method
Wang Xiuyan1, Cui Lei2
1. Library of Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China;
2. Department of Information Management and Information System(Medicine), China Medical University, Shenyang 110001, China
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Abstract  This paper takes aspirin side effects as the research topic, and applies one established association rule (IF Drugs and Chemicals categories/adverse effects AND Diseases categories/chemically induced,THEN Drugs cause Diseases) to collect the bibliographic records in PubMed involved the MeSH association rules. Then, it extracts the co-occurrence sentences that include the targeted entities and the semantic verbs between biomedical entities by the natural language processing method. Finally, 30 semantic verbs describing the relations between drug side effects and diseases are extracted. The research result shows that it is feasible to extract semantic relations based on the co-occurrence and natural language processing methods.
Key wordsBiomedical entity      Semantic relations extraction      Natural language processing     
Received: 08 March 2013      Published: 14 May 2013
:  G350  

Cite this article:

Wang Xiuyan, Cui Lei. Extract Semantic Relations Between Biomedical Entities Applied Hybrid Method. New Technology of Library and Information Service, 2013, 29(3): 77-82.

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