A Semantic Modeling Method Based on Data Graph, Information Graph and Knowledge Graph Framework for Association Frequency Calculation
A technology of knowledge graph and frequency, applied in the intersection of distributed computing and software engineering technology, can solve problems such as redundancy, incompleteness, inconsistency, etc., and achieve the effect of improving modeling quality and improving modeling efficiency
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[0019] A semantic modeling method based on data graph, information graph and knowledge graph framework for correlation frequency calculation, the specific implementation plan is as follows:
[0020] Step 1) Obtain user requirement description. Requirements are described by one or more users, and there are redundancy and inconsistency in multi-source requirements. If developers collect user requirements through research, the user group will be very large, and user descriptions of requirements will be very confusing;
[0021] Step 2) Based on the demand description obtained in step 1, extract keywords and express them on the data map in the form of nodes, and record the structural frequency Str_f, temporal frequency Tem_f and spatial frequency Spa_f of each keyword . The present invention defines the frequency of structure as the number of times data appears in different data structures, and the data structure included in each calculation must be the largest data structure wher...
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