Owing　the　explosive　growth　of　unstructured　cognitive　big　data,　provenances　become　a　core　issue　in　Brain　informatics.　In　order　to　construct　a　open　and　sharing　knowledge　graph　about　cognitive　big　data,　Brain　informatics　provenances　cannot　be　isolated.　All　entities,　which　were　extracted　from　biomedical　literatures,　web　documents,　information　systems,　etc.,　should　be　linked　to　open　knowledge　bases,　such　as　DBpedia.　However,　the　entity　ambiguity　is　a　key　obstacle　with　the　linking　task.　This　paper　proposes　a　probabilistic　method　for　linking　BI　provenances　to　open　knowledge　base.　Both　the　popularity　knowledge　and　context　knowledge　are　considered　to　solve　the　entity　ambiguity.　The　experimental　results　shows　the　proposed　method　is　effective.