Journal of Guangxi Normal University(Natural Science Edition) ›› 2014, Vol. 32 ›› Issue (4): 45-51.

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Document Selection for the Data-Brain Ontology and Related Information

ZHONG Han1, ZHONG Ning1,2,3, CHEN Jian-hui4, HAN Jian1   

  1. 1.International WIC Institute, Beijing University of Technology, Beijing 100124, China;
    2. Beijing Key Laboratory of MRI and Brain Informatics, Beijing 100124, China;
    3. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City 371-0816, Japan;
    4. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • Received:2014-05-23 Published:2018-09-26

Abstract: The document selection related to brain information based on the data-brain ontology not only has an important significance in the promotion of data-brain ontology, but also lays the foundation for knowledge integration. However, traditional research of document selection only focuses on the concept, and cannot meet the requirement of the systematic Brain Informatics study. This paper analyzes the characteristics of source knowledge firstly with concepts, attributes and relations. Then, the weight of documents by using the improved method of Vector Space Model is calculated. Finally, experimental results between the weight of each document and experts’ judgement are basically the same by using real documents associated with brain science. The correlation coefficient is 0.975 346.

Key words: data-brain ontology, brain informatics provenances, documents selection

CLC Number: 

  • TP308
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