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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Brain Informatics Research Recommendation System
verfasst von : Jian Han, Jianhui Chen, Han Zhong, Ning Zhong
Erschienen in: Brain Informatics and Health
Verlag: Springer International Publishing
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Finding and learning related research is a necessary work in Brain Informatics studies. However, the keyword-based search on brain and mental big data center often brings a large amount of unnecessary results. It is very difficult to find needed research from those results for researchers. This paper proposes a Brain Informatics research recommendation system based on the Data-Brain and BI provenances. By choosing interest aspects from the Data-Brain and applying the unification of search and reasoning based on Data-Brain interests, the more accurate search can be realized to find really related literatures for supporting systematic Brain Informatics studies.