摘要: 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... 展开 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 DatarBrain interests, the more accurate search can be realized to find really related literatures for supporting systematic Brain Informatics studies. 收起