Abstract
The documents selection related 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 documents selection 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, we calculate the weight of documents by using the improved method of VSM. Finally, the experiments using real documents associated with brain science are given and calculating the weight of each document achieves a better effect of ranking selection. © 2014 Springer International Publishing.
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CITATION STYLE
Zhong, H., Chen, J., Han, J., & Zhong, N. (2014). Data-brain driven documents ranking for constructing brain informatics provenances. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8609 LNAI, pp. 198–207). Springer Verlag. https://doi.org/10.1007/978-3-319-09891-3_19
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