Abstract
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.
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Han, J., Chen, J., Zhong, H., Zhong, N. (2014). A Brain Informatics Research Recommendation System. In: Ślȩzak, D., Tan, AH., Peters, J.F., Schwabe, L. (eds) Brain Informatics and Health. BIH 2014. Lecture Notes in Computer Science(), vol 8609. Springer, Cham. https://doi.org/10.1007/978-3-319-09891-3_20
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DOI: https://doi.org/10.1007/978-3-319-09891-3_20
Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-09891-3
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