Knowledge graph creation method and device, storage medium and server
A knowledge map and map technology, applied in the computer field, can solve the problems of low efficiency of knowledge map creation, achieve the effect of speeding up the construction progress, improving creation efficiency, and reducing communication costs
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[0072] (2) Analyzing the structured data by using a preset rule model to obtain the first instance element data contained therein;
[0073] (3) Analyzing the unstructured data by using a pre-built NLP recognition model to obtain the second instance element data contained therein;
[0074] (4) Fusing the first instance element data and the second instance element data to obtain the extracted instance element data.
[0075] For example, for highly structured structured data such as name, gender, and age, you can directly use the rule model to extract the instance element data contained in it. For unstructured data, such as judicial documents in the legal field, if you want to extract a certain type of dispute focus from all judicial documents under a certain case, you need to manually label the data, train the NLP model, and then optimize iteratively to reach a certain target. After that, it is parsed to extract the instance feature data contained in the unstructured data.
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