Workflow matching and finding system, based on provenance, facing proteomic data analysis
A proteomics and data analysis technology, applied in data processing applications, resources, computing, etc., can solve problems such as unusable tools, difficult installation of tools, and incompatible interfaces.
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[0049] The specific implementation of the algorithm in each module
[0050] (1) The process information mining module is used to find the entity service corresponding to a given task in the historical process from the historical process knowledge repository module (HFK). The implemented algorithm is: Algorithm 1: FIF(task, HFK) . It can be seen from the above that the basic information unit organization form in HFK is CE=(i , service i > , {G x , G y}). The specific implementation of the algorithm is as follows: traverse all information units in HFK, if CE i The first element in task i It is an equivalence relationship with task, that is, task i =task, put CE i Add to the returned linked list, and repeat this process until the end of the traversal. Finally return the result linked list. See appendix (1) for the pseudo code implementation.
[0051] (2) The source data mining module is used to find the provenance information of a specific service in the specified pro...
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