Complex information system collaborative data extraction method
A data extraction and information system technology, applied in the fields of digital data protection, electrical digital data processing, wireless communication, etc., can solve problems such as the inability to extract data in a timely and accurate manner, improve user experience, ensure the smoothness of data extraction, reduce The effect of calling expenses
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Embodiment approach 1
[0061] One implementation mode 1, the complex information system collaborative data extraction method includes:
[0062] For the data extraction information input by the user, calculate the similarity between the data extraction information and the data extraction information input in the historical period. If the similarity is higher than the preset similarity, the first extraction request generated according to the data extraction information is extracted from the data extraction database. Extract the first target data; at this point, it can be considered that the first target data has met the user's data extraction requirements.
[0063] If the similarity is lower than the preset similarity, the data extraction information is divided into the same extraction information and different extraction information, the first target data is extracted according to the first extraction request generated by the same extraction information, connected to the network, and the data generate...
Embodiment approach 2
[0064] One implementation mode 2, the complex information system collaborative data extraction method includes:
[0065] The data extraction information input by the user, judge whether the data extraction information is a single input information, calculate the single similarity between the data extraction information and the data extraction information input in the historical period, if the single similarity is higher than the preset single similarity , then extract the first target data from the data extraction database according to the first extraction request generated by the data extraction information; if the single similarity is lower than the preset single similarity, the data extraction information is divided into the same extraction information and different extraction information Information, the first extraction request generated according to the same extraction information extracts the first target data, connects to the network, and the second extraction request g...
Embodiment approach 3
[0066] One implementation mode 3, the complex information system collaborative data extraction method includes:
[0067] When the user successively inputs the data extraction information within the preset time, judge whether the data extraction information is successive input information, calculate and update the real-time similarity between the information in the successive input data extraction information and the data extraction information input in the historical period in real time . If the real-time similarity is higher than the preset sequential similarity, the data extraction information is divided into the same extraction information and different extraction information, and the first target data is extracted according to the first extraction request generated by the same extraction information, connected to the network, and the different extraction information is extracted. The generated second extraction request extracts the second target data from the corresponding...
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