Abstract
The traditional semantic retrieval method of British educational resource metadata has a low recall rate. Therefore, a semantic retrieval method of British educational resource metadata under a layered cloud peer-to-peer network is proposed. Preprocess the British education resource metadata and query and expand the semantics of the British education resource metadata. On this basis, the semantic correlation of the British education resource metadata is calculated to achieve the semantic retrieval of the British education resource metadata under the layered cloud peer-to-peer network. The experiment proves that the semantic retrieval method of the metadata of British education resources under the layered cloud peer-to-peer network designed this time has a higher recall rate than the traditional method and has practical application significance.
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Special project to build mianyang normal university in 2019: Theoretical research and practical exploration of foreign language teacher education (project number: 2019 mysytdz11) college.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, X., Li, MJ. (2020). Semantic Retrieval Method of UK Education Resource Metadata in Hierarchical Cloud P2P Network. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_29
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DOI: https://doi.org/10.1007/978-3-030-63955-6_29
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