A heuristic intelligent search method for metadata warehouse based on 6w semantic identification
A metadata warehouse and intelligent search technology, applied in the information field, can solve problems such as insufficient understanding of problems, insufficient identification and analysis of problems, and inability to find the information expected by users.
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[0051] refer to figure 1 , the metadata warehouse heuristic intelligent search method based on 6W semantic identification in this embodiment, the method includes the following steps:
[0052] S1, decomposition keywords:
[0053] Obtain keywords from the natural language input by the user, and perform semantic analysis on the keywords, then identify the data element corresponding to each keyword, obtain the data element identifier of each keyword, and sort all the identified data element as an index;
[0054] S2, perform scene matching processing on all identified data elements:
[0055] According to the identification of the identified data element in S1, match the scene associated with the identification in the business model;
[0056] S3, Supplementary missing item processing:
[0057]Judging whether the number of scenes corresponding to the identification of the identified data element is greater than the preset threshold, if yes, perform supplementary missing item proc...
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