IJSEA Volume 12 Issue 8

Online Platform Construction of Legal Education and Intellectual Reform Based on Intelligent Legal Information Detection Algorithm and Intelligent Matching Model

Jin Yang
10.7753/IJSEA1208.1033
keywords : Online Platform Construction, Legal Education and Intellectual Reform, Intelligent Legal Information, Intelligent Matching Model

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Then, the background subtraction method based on Gaussian mixture model is used to extract moving objects, and the attributes of moving objects are determined through feature extraction. After matching with the normal model, a hybrid semantic similarity optimization fuzzy query algorithm is proposed. First, based on the similarity calculation concept, a new concept extraction method that is close to it is proposed; in order to meet the requirements of the future legal profession, schools not only need to offer elective courses to increase students’ digital literacy, but also need to integrate digital literacy into legal knowledge, vocational skills and legal the whole process of ethics education. In order to meet the requirements of the future legal profession, schools not only need to offer elective courses to increase students’ digital literacy, but also need to integrate digital literacy into the whole process of legal knowledge, vocational skills and legal ethics education.
@artical{j1282023ijsea12081033,
Title = "Online Platform Construction of Legal Education and Intellectual Reform Based on Intelligent Legal Information Detection Algorithm and Intelligent Matching Model",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="103 - 105",
Year = "2023",
Authors ="Jin Yang"}